diff --git a/.github/workflows/mkdocs-deploy.yml b/.github/workflows/mkdocs-deploy.yml
index 70bb5310..ebb39aa4 100644
--- a/.github/workflows/mkdocs-deploy.yml
+++ b/.github/workflows/mkdocs-deploy.yml
@@ -35,4 +35,17 @@ jobs:
restore-keys: |
mkdocs-material-
- run: pip install mkdocs-material
- - run: mkdocs gh-deploy --force
\ No newline at end of file
+ - run: mkdocs gh-deploy --force
+ # commit
+ - name: Commit files
+ run: |
+ git config --local user.email "action@github.com"
+ git config --local user.name "GitHub Action"
+ git add -A
+ git commit -m "update data" -a
+ # push
+ - name: Push changes
+ uses: ad-m/github-push-action@v0.6.0
+ with:
+ github_token: ${{ secrets.GITHUB_TOKEN }}
+ branch: main
\ No newline at end of file
diff --git a/app/code/literatureFetch.py b/app/code/literatureFetch.py
index ae5aadaa..03205dc7 100755
--- a/app/code/literatureFetch.py
+++ b/app/code/literatureFetch.py
@@ -19,13 +19,11 @@
# 'limit': 5,
'publicationTypes': 'JournalArticle',
# 'year': '2020-',
- 'fields': 'paperId,url,journal,\
- title,publicationTypes,publicationDate,\
- citationCount,publicationVenue',
+ 'fields': 'paperId,url,journal,title,publicationTypes,publicationDate,citationCount,publicationVenue',
# 'sort': 'citationCount:desc',
'token': None
}
-N = 10
+N = 50
DIC = {}
def fetch_articles(search_query,
@@ -48,7 +46,6 @@ def fetch_articles(search_query,
while True:
# Make the GET request to the paper search endpoint with the URL and query parameters
search_response = requests.get(URL, params=query_params, timeout=None)
- print ('status code', search_response.status_code)
# WHen the status code is 429, sleep for 5 minutes
# if search_response.status_code == 429:
# status_code_429 += 1
@@ -58,8 +55,13 @@ def fetch_articles(search_query,
# time.sleep(310)
# continue
# When the status code is 200, break the loop
- if search_response.status_code == 200:
+ if search_response.status_code != 200:
+ print ('status code', search_response.status_code)
+ print ('Sleeping for 3 seconds....')
+ time.sleep(3)
+ else:
break
+
search_response_json = search_response.json()
fetched_data += search_response_json['data']
# End the loop if we have fetched enough data
@@ -70,9 +72,25 @@ def fetch_articles(search_query,
# if the token is not None
if search_response_json['token'] is not None:
query_params['token'] = search_response_json['token']
+
+ # fix the publicationVenue and journal
+ for paper in fetched_data:
+ # print (paper)
+ publication_venue = paper['publicationVenue']
+ if publication_venue is None:
+ paper['publicationVenue'] = 'NA'
+ elif 'name' in publication_venue:
+ paper['publicationVenue'] = publication_venue['name']
+ else:
+ paper['publicationVenue'] = ''
+ journal = paper['journal']
+ if journal is None:
+ paper['journal'] = 'NA'
+ elif 'name' in journal:
+ paper['journal'] = journal['name']
return fetched_data
-def create_template(template_file, category_name) -> str:
+def create_template(template_file, category_name, df) -> str:
"""
Return the markdown content for a given template
@@ -94,7 +112,9 @@ def create_template(template_file, category_name) -> str:
category_name=category_name,
title=DIC[category_name]['title'],
query=DIC[category_name]['query'],
- hide_nav="---\nhide:\n\t- navigation---\n",
+ x_year=df['Year'].tolist(),
+ y_num_articles=df['num_articles'].tolist(),
+ y_num_citations=df['num_citations'].tolist()
)
# return markdownify.markdownify(content)
return content
@@ -109,6 +129,7 @@ def main():
Returns:
None
"""
+
# Work with all the categories in the file
with open('../data/query.tsv', 'r', encoding='utf-8') as f:
for line in f:
@@ -122,14 +143,15 @@ def main():
## Fetch the most cited articles
data = fetch_articles(query)
DIC[category_name] = {'title': title, 'query': query, 'most_cited_articles': data}
- plot = utils.metrics_over_time(data, category_name, title)
- plot.savefig(f'../../docs/assets/{category_name}.png')
+ # plot = utils.metrics_over_time_js(data, category_name, title)
+ # plot.savefig(f'../../docs/assets/{category_name}.png')
+ df = utils.metrics_over_time_js(data, category_name, title)
################################
## Fetch the most recent articles
data = fetch_articles(query, sort = 'publicationDate:desc')
DIC[category_name]['most_recent_articles'] = data
# print (data[0])
- markdown_text = create_template("category.txt", category_name)
+ markdown_text = create_template("category.txt", category_name, df)
# DIC[category_name]['most_cited_articles'][0:N],
# DIC[category_name]['most_recent_articles'][0:N])
# Add the hide navigation
@@ -147,14 +169,15 @@ def main():
## Fetch the most cited articles
data = fetch_articles(query)
DIC[category_name] = {'title': title, 'query': query, 'most_cited_articles': data}
- plot = utils.metrics_over_time(data, category_name, title)
- plot.savefig(f'../../docs/assets/{category_name}.png')
+ # plot = utils.metrics_over_time_js(data, category_name, title)
+ # plot.savefig(f'../../docs/assets/{category_name}.png')
+ df = utils.metrics_over_time_js(data, category_name, title)
################################
## Fetch the most recent articles
data = fetch_articles(query, sort = 'publicationDate:desc')
DIC[category_name]['most_recent_articles'] = data
# print (data[0])
- markdown_text = create_template("category.txt", category_name)
+ markdown_text = create_template("category.txt", category_name, df)
# DIC[category_name]['most_cited_articles'][0:N],
# DIC[category_name]['most_recent_articles'][0:N])
# Add the hide navigation
@@ -163,6 +186,20 @@ def main():
with open(f'../../docs/{category_name}.md', 'w', encoding='utf-8') as file:
file.write(markdown_text)
################################
+
+ # Read YAML file
+ file_path = '../../base.yml'
+ data = utils.read_yaml(file_path)
+ print (data['nav'])
+
+ # Add more stuff to the YAML data
+ data['nav'] = []
+ for category_name, category_items in DIC.items():
+ data['nav'].append({category_items['title']: category_name + '.md'})
+
+ print (data['nav'])
+ # Write modified YAML data back to file
+ # write_yaml(data, file_path)
if __name__ == '__main__':
# Run the main function
diff --git a/app/code/utils.py b/app/code/utils.py
index 85c56805..0b03e44f 100755
--- a/app/code/utils.py
+++ b/app/code/utils.py
@@ -6,6 +6,7 @@
import matplotlib.pyplot as plt
import pandas as pd
+import yaml
def metrics_over_time(data, category_name, title) -> plt:
"""
@@ -75,4 +76,63 @@ def metrics_over_time(data, category_name, title) -> plt:
return plt
- #A26, B1
\ No newline at end of file
+ #A26, B1
+
+def metrics_over_time_js(data, category_name, title) -> plt:
+ """
+ Return the metrics over time
+
+ Args:
+ data (list): list of dictionaries
+ category_name (str): category name
+ title (str): title of the graph
+
+ Returns:
+ None
+
+ Example:
+ data = [
+ {
+ 'title': 'title1',
+ 'publicationDate': '2020-01-01',
+ 'citationCount': 10
+ },
+ {
+ 'title': 'title2',
+ 'publicationDate': '2020-01-01',
+ 'citationCount': 10
+ }
+ ]
+ """
+ dic = {}
+ for paper in data:
+ publication_date = paper['publicationDate']
+ if publication_date is None or publication_date == '':
+ continue
+ year = publication_date.split('-')[0]
+ if year not in dic:
+ dic[year] = {'num_articles': 0, 'num_citations': 0}
+ dic[year]['num_articles'] += 1
+ citation_count = paper['citationCount']
+ if citation_count is None or citation_count == '':
+ continue
+ dic[year]['num_citations'] += citation_count
+ # Using noc and yop, plot the line graph with years on x-axis and number of citations on y-axis
+ df = pd.DataFrame(dic).T
+ # Make another colum for the year
+ df['Year'] = df.index
+ # Sort by year
+ df = df.sort_values(by='Year', ascending=True)
+ # print (df)
+ return df
+
+# Function to read YAML file
+def read_yaml(file_path):
+ with open(file_path, 'r') as file:
+ data = yaml.safe_load(file)
+ return data
+
+# Function to write YAML file
+def write_yaml(data, file_path):
+ with open(file_path, 'w') as file:
+ yaml.dump(data, file, default_flow_style=False)
diff --git a/app/data/query2.tsv b/app/data/query2.tsv
new file mode 100644
index 00000000..f6a020b8
--- /dev/null
+++ b/app/data/query2.tsv
@@ -0,0 +1,2 @@
+Title Query
+Neural ODEs Neural ODEs
diff --git a/custom_theme/404.html b/custom_theme/404.html
deleted file mode 100644
index 3b2634d5..00000000
--- a/custom_theme/404.html
+++ /dev/null
@@ -1 +0,0 @@
-
Hello
\ No newline at end of file
diff --git a/docs/All.md b/docs/All.md
index 361c1f66..614bf494 100644
--- a/docs/All.md
+++ b/docs/All.md
@@ -2,72 +2,250 @@
hide:
- navigation
---
-
-
-
-
-
-
-
-### 1. Search query
-
-
-*(neural ordinary differential equation) | (neural ODE) | (graph neural differential equation) | (graph neural diffusion) | (graph neural ODEs) | (graph networks) | (physics constrain) | (learned simulator) | (learned simulation) | ((symbolic regression) + dynamics) | (physics-informed neural computing) | (VAMP) | (latent space simul\*) | (decomposition of koopman operator) | (time-lagged autoencoder) | (koopman\*) | (transformations in hilbert space) | (linear transformation of PDEs) | (regularization of physics-informed machine learning)*
-
-
-
-
-### 2. All articles and citations over time
-
-
-![All](assets/All.png)
-
-
-
-
-### 3. Most cited articles on All
-
-
-
-
-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
-| --- | --- | --- | --- | --- |
-| [Gradient-based learning applied to document recognition](https://www.semanticscholar.org/paper/162d958ff885f1462aeda91cd72582323fd6a1f4) | None | 46003 | {'name': 'Proc. IEEE', 'pages': '2278-2324', 'volume': '86'} | {'id': '6faaccca-1cc4-45a9-aeb6-96a4901d2606', 'name': 'Proceedings of the IEEE', 'type': 'journal', 'alternate\_names': ['Proc IEEE'], 'issn': '0018-9219', 'alternate\_issns': ['1558-2256'], 'url': 'http://www.ieee.org/portal/pages/pubs/proceedings/', 'alternate\_urls': ['http://www.ieee.org/products/onlinepubs/pub/about\_conference.html', 'https://ieeexplore.ieee.org/servlet/opac?punumber=5', 'http://proceedingsoftheieee.ieee.org/']} |
-| [Collective dynamics of ‘small-world’ networks](https://www.semanticscholar.org/paper/d61031326150ba23f90e6587c13d99188209250e) | 1998-06-04 | 38484 | {'name': 'Nature', 'pages': '440-442', 'volume': '393'} | {'id': '6c24a0a0-b07d-4d7b-a19b-fd09a3ed453a', 'name': 'Nature', 'type': 'journal', 'issn': '0028-0836', 'url': 'https://www.nature.com/', 'alternate\_urls': ['http://www.nature.com/nature/', 'https://www.nature.com/nature/', 'http://www.nature.com/nature/archive/index.html']} |
-| [Semi-Supervised Classification with Graph Convolutional Networks](https://www.semanticscholar.org/paper/36eff562f65125511b5dfab68ce7f7a943c27478) | 2016-09-09 | 22114 | {'name': 'ArXiv', 'volume': 'abs/1609.02907'} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [Statistical mechanics of complex networks](https://www.semanticscholar.org/paper/dce8146987557735a19771aefa1f027211a2c275) | 2001-06-06 | 18824 | {'name': 'ArXiv', 'volume': 'cond-mat/0106096'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [The Structure and Function of Complex Networks](https://www.semanticscholar.org/paper/e6c4925fb114d13a8568f88957c167c928f0c9f1) | 2003-03-25 | 16785 | {'name': 'SIAM Rev.', 'pages': '167-256', 'volume': '45'} | {'id': '8f59dd66-e4cd-4341-8ea9-9a03d965a009', 'name': 'SIAM Review', 'type': 'journal', 'alternate\_names': ['SIAM Rev', 'Siam Rev', 'Siam Review'], 'issn': '0036-1445', 'url': 'https://www.jstor.org/journal/siamreview', 'alternate\_urls': ['http://www.jstor.org/journals/00361445.html', 'https://epubs.siam.org/journal/siread', 'http://www.siam.org/journals/sirev.php']} |
-| [TensorFlow: A system for large-scale machine learning](https://www.semanticscholar.org/paper/4954fa180728932959997a4768411ff9136aac81) | 2016-05-27 | 16703 | {'pages': '265-283'} | {'id': '86c43745-31d9-4c1a-b33f-ce3aa0042dbb', 'name': 'USENIX Symposium on Operating Systems Design and Implementation', 'type': 'conference', 'alternate\_names': ['Oper Syst Des Implement', 'Operating Systems Design and Implementation', 'OSDI', 'USENIX Symp Oper Syst Des Implement']} |
-| [Community structure in social and biological networks](https://www.semanticscholar.org/paper/2a005868b79511cf8c924cd5990e2497527a0527) | 2001-12-07 | 14280 | {'name': 'Proceedings of the National Academy of Sciences of the United States of America', 'pages': '7821 - 7826', 'volume': '99'} | {'id': 'bb95bf2e-8383-4748-bf9d-d6906d091085', 'name': 'Proceedings of the National Academy of Sciences of the United States of America', 'type': 'journal', 'alternate\_names': ['PNAS', 'PNAS online', 'Proceedings of the National Academy of Sciences of the United States of America.', 'Proc National Acad Sci', 'Proceedings of the National Academy of Sciences', 'Proc National Acad Sci u s Am'], 'issn': '0027-8424', 'alternate\_issns': ['1091-6490'], 'url': 'https://www.jstor.org/journal/procnatiacadscie', 'alternate\_urls': ['http://www.pnas.org/', 'https://www.pnas.org/', 'http://www.jstor.org/journals/00278424.html', 'www.pnas.org/']} |
-| [Graph Attention Networks](https://www.semanticscholar.org/paper/33998aff64ce51df8dee45989cdca4b6b1329ec4) | 2017-10-30 | 13972 | {'name': 'ArXiv', 'volume': 'abs/1710.10903'} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation](https://www.semanticscholar.org/paper/450106c6c960424b365249f2a301ce0abe24e346) | 2018-10-02 | 12792 | {'name': 'Annals of Internal Medicine', 'pages': '467-473', 'volume': '169'} | {'id': '643b0c17-99ac-463b-81c4-df44ad66e34d', 'name': 'Annals of Internal Medicine', 'type': 'journal', 'alternate\_names': ['Ann Intern Med'], 'issn': '0003-4819', 'url': 'http://www.acponline.org/journals/annals/annaltoc.htm', 'alternate\_urls': ['http://www.annals.org/']} |
-| [Consensus problems in networks of agents with switching topology and time-delays](https://www.semanticscholar.org/paper/9839ed2281ba4b589bf88c7e4acc48c9fa6fb933) | 2004-09-13 | 11249 | {'name': 'IEEE Transactions on Automatic Control', 'pages': '1520-1533', 'volume': '49'} | {'id': '1283a59c-0d1f-48c3-81d7-02172f597e70', 'name': 'IEEE Transactions on Automatic Control', 'type': 'journal', 'alternate\_names': ['IEEE Trans Autom Control'], 'issn': '0018-9286', 'url': 'http://ieeexplore.ieee.org/servlet/opac?punumber=9'} |
-
-
-
-
-
-
-### 4. Latest articles on All
-
-
-
-
-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
-| --- | --- | --- | --- | --- |
-| [Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation](https://www.semanticscholar.org/paper/04744b6893487a608e3726fb4542e2a7f9e81a5b) | 2024-06-01 | 0 | {'name': 'Information Fusion'} | {'id': '06afdd0b-0d85-413f-af8a-c3045c12c561', 'name': 'Information Fusion', 'type': 'journal', 'alternate\_names': ['Inf Fusion'], 'issn': '1566-2535', 'url': 'https://www.journals.elsevier.com/information-fusion', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/15662535']} |
-| [Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation](https://www.semanticscholar.org/paper/ba23319a62da63ec3b664f6452bb7a9aee8a46dc) | 2024-05-01 | 0 | {'name': 'Control Engineering Practice'} | {'id': 'af74e393-8f45-41cd-915b-734494cb48f2', 'name': 'Control Engineering Practice', 'type': 'journal', 'alternate\_names': ['Control Eng Pract'], 'issn': '0967-0661', 'url': 'http://www.elsevier.com/wps/find/journaldescription.cws\_home/123/description#description', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/09670661']} |
-| [MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning](https://www.semanticscholar.org/paper/a1a503c7c23502bebe94eb042b0ce9f8bdbb6504) | 2024-05-01 | 0 | {'name': 'Inf. Fusion', 'pages': '102250', 'volume': '105'} | {'id': '06afdd0b-0d85-413f-af8a-c3045c12c561', 'name': 'Information Fusion', 'type': 'journal', 'alternate\_names': ['Inf Fusion'], 'issn': '1566-2535', 'url': 'https://www.journals.elsevier.com/information-fusion', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/15662535']} |
-| [DawnGNN: Documentation augmented windows malware detection using graph neural network](https://www.semanticscholar.org/paper/45cb2614652147789e18f1bc15d665977d2d1ee9) | 2024-05-01 | 0 | {'name': 'Computers & Security'} | None |
-| [Multi-level Graph Memory Network Cluster Convolutional Recurrent Network for traffic forecasting](https://www.semanticscholar.org/paper/357677ec8b2223f049c45c7330633a5b85c2bc95) | 2024-05-01 | 0 | {'name': 'Inf. Fusion', 'pages': '102214', 'volume': '105'} | {'id': '06afdd0b-0d85-413f-af8a-c3045c12c561', 'name': 'Information Fusion', 'type': 'journal', 'alternate\_names': ['Inf Fusion'], 'issn': '1566-2535', 'url': 'https://www.journals.elsevier.com/information-fusion', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/15662535']} |
-| [FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records](https://www.semanticscholar.org/paper/3383c82d39b88e5349d345e32e879806bd72d435) | 2024-05-01 | 0 | {'name': 'Information Processing & Management'} | None |
-| [Multi-criteria group decision making based on graph neural networks in Pythagorean fuzzy environment](https://www.semanticscholar.org/paper/13a50769f110029fcb3390956789aec236071c53) | 2024-05-01 | 1 | {'name': 'Expert Systems with Applications'} | {'id': '987139ae-a65d-49bb-aaf6-fb764dc40b19', 'name': 'Expert systems with applications', 'type': 'journal', 'alternate\_names': ['Expert syst appl', 'Expert Systems With Applications', 'Expert Syst Appl'], 'issn': '0957-4174', 'url': 'https://www.journals.elsevier.com/expert-systems-with-applications/', 'alternate\_urls': ['https://www.sciencedirect.com/journal/expert-systems-with-applications', 'http://www.sciencedirect.com/science/journal/09574174']} |
-| [POI recommendation for random groups based on cooperative graph neural networks](https://www.semanticscholar.org/paper/0cfd9a1774cf41ff07e957bbc25d14596d529c4f) | 2024-05-01 | 0 | {'name': 'Information Processing & Management'} | None |
-| [Attention based multi-task interpretable graph convolutional network for Alzheimer’s disease analysis](https://www.semanticscholar.org/paper/fc5ee86473fd698e3f4405b51bdfe0575304a30d) | 2024-04-01 | 0 | {'name': 'Pattern Recognition Letters'} | {'id': 'f35e3e87-9df4-497b-aa0d-bb8584197290', 'name': 'Pattern Recognition Letters', 'type': 'journal', 'alternate\_names': ['Pattern Recognit Lett'], 'issn': '0167-8655', 'url': 'https://www.journals.elsevier.com/pattern-recognition-letters/', 'alternate\_urls': ['http://www.journals.elsevier.com/pattern-recognition-letters/', 'http://www.sciencedirect.com/science/journal/01678655']} |
-| [A coarse-to-fine adaptive spatial–temporal graph convolution network with residuals for motor imagery decoding from the same limb](https://www.semanticscholar.org/paper/f56be81f12e0c0bdf632d5feeaf028dfb791223a) | 2024-04-01 | 0 | {'name': 'Biomedical Signal Processing and Control'} | {'id': '1bac31b4-014a-4981-ae41-af2a40acc162', 'name': 'Biomedical Signal Processing and Control', 'type': 'journal', 'alternate\_names': ['Biomed Signal Process Control'], 'issn': '1746-8094', 'url': 'https://www.journals.elsevier.com/biomedical-signal-processing-and-control', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/17468094']} |
-
-
-
-
-
-
+
+
+
+
+
+
+
+
+
+
1. Search query
+ (neural ordinary differential equation) | (neural ODE) | (graph neural differential equation) | (graph neural diffusion) | (graph neural ODEs) | (graph networks) | (physics constrain) | (learned simulator) | (learned simulation) | ((symbolic regression) + dynamics) | (physics-informed neural computing) | (VAMP) | (latent space simul*) | (decomposition of koopman operator) | (time-lagged autoencoder) | (koopman*) | (transformations in hilbert space) | (linear transformation of PDEs) | (regularization of physics-informed machine learning)
+
+
+
+
2. All articles and citations over time
+
+
+
+
+
+
+
3. Most cited articles on All
+
+
+
+
+
4. Latest articles on All
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/docs/Koopman_Theory.md b/docs/Koopman_Theory.md
index e1d4199d..66f33b50 100644
--- a/docs/Koopman_Theory.md
+++ b/docs/Koopman_Theory.md
@@ -2,72 +2,250 @@
hide:
- navigation
---
-
-
-
-
-
-
-
-### 1. Search query
-
-
-*(koopman\*) | (transformations in hilbert space) | (linear transformation of PDEs) | (regularization of physics-informed machine learning)*
-
-
-
-
-### 2. Koopman Theory articles and citations over time
-
-
-![Koopman Theory](assets/Koopman_Theory.png)
-
-
-
-
-### 3. Most cited articles on Koopman Theory
-
-
-
-
-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
-| --- | --- | --- | --- | --- |
-| [Hamiltonian Systems and Transformation in Hilbert Space.](https://www.semanticscholar.org/paper/bf657b5049c1a5c839369d3948ffb4c0584cd1d2) | 1931-05-01 | 1558 | {'name': 'Proceedings of the National Academy of Sciences of the United States of America', 'pages': '\n 315-8\n ', 'volume': '17 5'} | {'id': 'bb95bf2e-8383-4748-bf9d-d6906d091085', 'name': 'Proceedings of the National Academy of Sciences of the United States of America', 'type': 'journal', 'alternate\_names': ['PNAS', 'PNAS online', 'Proceedings of the National Academy of Sciences of the United States of America.', 'Proc National Acad Sci', 'Proceedings of the National Academy of Sciences', 'Proc National Acad Sci u s Am'], 'issn': '0027-8424', 'alternate\_issns': ['1091-6490'], 'url': 'https://www.jstor.org/journal/procnatiacadscie', 'alternate\_urls': ['http://www.pnas.org/', 'https://www.pnas.org/', 'http://www.jstor.org/journals/00278424.html', 'www.pnas.org/']} |
-| [A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition](https://www.semanticscholar.org/paper/10cab2f43c29fe12e5a0d0718eb6e1ff8c9d4777) | 2014-08-19 | 1323 | {'name': 'Journal of Nonlinear Science', 'pages': '1307 - 1346', 'volume': '25'} | {'id': '619f4cc3-1d00-4060-b88d-9854843ac2c2', 'name': 'Journal of nonlinear science', 'type': 'journal', 'alternate\_names': ['J Nonlinear Sci', 'Journal of Nonlinear Science', 'J nonlinear sci'], 'issn': '0938-8974', 'url': 'https://link.springer.com/journal/332'} |
-| [Deep learning for universal linear embeddings of nonlinear dynamics](https://www.semanticscholar.org/paper/6adeda1af8abc6bc3c17c0b39f635a845476cd9f) | 2017-12-27 | 899 | {'name': 'Nature Communications', 'volume': '9'} | {'id': '43b3f0f9-489a-4566-8164-02fafde3cd98', 'name': 'Nature Communications', 'type': 'journal', 'alternate\_names': ['Nat Commun'], 'issn': '2041-1723', 'url': 'https://www.nature.com/ncomms/', 'alternate\_urls': ['http://www.nature.com/ncomms/about/index.html', 'http://www.nature.com/ncomms/index.html']} |
-| [Entanglement renormalization.](https://www.semanticscholar.org/paper/7e54d86fb36907b99ef0580bfaea9b43c5942ae7) | 2005-12-08 | 784 | {'name': 'Physical review letters', 'pages': '\n 220405\n ', 'volume': '99 22'} | {'id': '16c9f9d4-bee1-435d-8c85-22a3deba109d', 'name': 'Physical Review Letters', 'type': 'journal', 'alternate\_names': ['Phys Rev Lett'], 'issn': '0031-9007', 'url': 'https://journals.aps.org/prl/', 'alternate\_urls': ['http://journals.aps.org/prl/', 'http://prl.aps.org/']} |
-| [Applied Koopmanism.](https://www.semanticscholar.org/paper/2c9be1e38f978f43427ea5293b3138e0c4fede71) | 2012-06-14 | 694 | {'name': 'Chaos', 'pages': '\n 047510\n ', 'volume': '22 4'} | {'id': '30c0ded7-c8b4-473c-bbc0-f237234ac1a6', 'name': 'Chaos', 'type': 'journal', 'issn': '1054-1500', 'url': 'http://chaos.aip.org/', 'alternate\_urls': ['https://aip.scitation.org/journal/cha']} |
-| [CT Imaging of the 2019 Novel Coronavirus (2019-nCoV) Pneumonia](https://www.semanticscholar.org/paper/b90161898ff5ef4236f1c19a5c88138e1c80c5ea) | 2020-01-31 | 658 | {'name': 'Radiology'} | {'id': '357207a3-a4af-4091-822c-75ef52d02fb5', 'name': 'Radiology', 'type': 'journal', 'issn': '0033-8419', 'url': 'http://radiology.rsna.org/', 'alternate\_urls': ['http://radiology.rsnajnls.org/']} |
-| [Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses](https://www.semanticscholar.org/paper/82e19123c7fdf1c047531eec5bce6f925dcc5ad5) | 2012-04-27 | 642 | {'name': 'Journal of Nonlinear Science', 'pages': '887-915', 'volume': '22'} | {'id': '619f4cc3-1d00-4060-b88d-9854843ac2c2', 'name': 'Journal of nonlinear science', 'type': 'journal', 'alternate\_names': ['J Nonlinear Sci', 'Journal of Nonlinear Science', 'J nonlinear sci'], 'issn': '0938-8974', 'url': 'https://link.springer.com/journal/332'} |
-| [Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control](https://www.semanticscholar.org/paper/dbb73c3f14600e3a746c643c2e8bece117de6be4) | 2016-11-10 | 635 | {'name': 'Autom.', 'pages': '149-160', 'volume': '93'} | None |
-| [Algorithms for the Split Variational Inequality Problem](https://www.semanticscholar.org/paper/ff73ad9e51f79cc364545e7933f22cc2a74f28fc) | 2010-09-20 | 594 | {'name': 'Numerical Algorithms', 'pages': '301 - 323', 'volume': '59'} | {'id': '3920fb0a-e610-4b5d-8760-f43cfa321466', 'name': 'Numerical Algorithms', 'type': 'journal', 'alternate\_names': ['Numer Algorithm'], 'issn': '1017-1398', 'url': 'https://www.springer.com/computer/theoretical+computer+science/journal/11075?changeHeader', 'alternate\_urls': ['https://link.springer.com/journal/11075']} |
-| [Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics](https://www.semanticscholar.org/paper/fa00b2c3d2fe8326470c47a3e5f5d1e716e58cb3) | 2018-06-05 | 472 | {'name': 'Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing'} | {'id': '8113a511-e0d9-4231-a1bc-0bf5d0212a4e', 'name': 'Symposium on the Theory of Computing', 'type': 'conference', 'alternate\_names': ['Symp Theory Comput', 'STOC'], 'url': 'http://acm-stoc.org/'} |
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-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
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-| [A Data-Driven Koopman Approach for Power System Nonlinear Dynamic Observability Analysis](https://www.semanticscholar.org/paper/cf4e03fdbc78190194b74a5e1ad20465c5dd6463) | 2024-03-01 | 0 | {'name': 'IEEE Transactions on Power Systems', 'pages': '4090-4104', 'volume': '39'} | {'id': 'dbbda9ef-0504-4875-b893-5c964f6b8f0e', 'name': 'IEEE Transactions on Power Systems', 'type': 'journal', 'alternate\_names': ['IEEE Trans Power Syst'], 'issn': '0885-8950', 'url': 'http://ieeexplore.ieee.org/servlet/opac?punumber=59'} |
-| [A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables](https://www.semanticscholar.org/paper/cabacb5b65447bbb8ef5f0f82c37cd1a66cf2282) | 2024-03-01 | 0 | {'name': 'IEEE Robotics and Automation Letters', 'pages': '2264-2271', 'volume': '9'} | {'id': '93c335b7-edf4-45f5-8ddc-7c5835154945', 'name': 'IEEE Robotics and Automation Letters', 'alternate\_names': ['IEEE Robot Autom Lett'], 'issn': '2377-3766', 'url': 'https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage.html?product=PER481-ELE', 'alternate\_urls': ['http://ieeexplore.ieee.org/servlet/opac?punumber=7083369']} |
-| [Improving potential energy surfaces using measured Feshbach resonance states](https://www.semanticscholar.org/paper/b5f96d19a20f448255c0e361b01caf9aeff87938) | 2024-03-01 | 0 | {'name': 'Science Advances', 'volume': '10'} | {'id': 'cb30f0c9-2980-4b7d-bbcb-68fc5472b97c', 'name': 'Science Advances', 'type': 'journal', 'alternate\_names': ['Sci Adv'], 'issn': '2375-2548', 'url': 'http://www.scienceadvances.org/', 'alternate\_urls': ['https://advances.sciencemag.org/']} |
-| [Robust Three-Stage Dynamic Mode Decomposition for Analysis of Power System Oscillations](https://www.semanticscholar.org/paper/1a279d90354755f741f45618a5673e220a715fc7) | 2024-03-01 | 0 | {'name': 'IEEE Transactions on Power Systems', 'pages': '4000-4009', 'volume': '39'} | {'id': 'dbbda9ef-0504-4875-b893-5c964f6b8f0e', 'name': 'IEEE Transactions on Power Systems', 'type': 'journal', 'alternate\_names': ['IEEE Trans Power Syst'], 'issn': '0885-8950', 'url': 'http://ieeexplore.ieee.org/servlet/opac?punumber=59'} |
-| [Data-Driven Transient Stability Evaluation of Electric Distribution Networks Dominated by EV Supercharging Stations](https://www.semanticscholar.org/paper/15757b898cf9ba88030c73486a039b5b296a118b) | 2024-03-01 | 0 | {'name': 'IEEE Transactions on Smart Grid', 'pages': '1939-1950', 'volume': '15'} | {'id': '1c2f3998-b5ca-48ca-9991-94b71c71ecb7', 'name': 'IEEE Transactions on Smart Grid', 'type': 'journal', 'alternate\_names': ['IEEE Trans Smart Grid'], 'issn': '1949-3053', 'url': 'http://ieeexplore.ieee.org/servlet/opac?punumber=5165411'} |
-| [Approximation of discrete and orbital Koopman operators over subsets and manifolds](https://www.semanticscholar.org/paper/1d4ea3a7943c108bee09f107e42ffdf0fd3cfde3) | 2024-02-22 | 0 | {'name': 'Nonlinear Dynamics'} | {'id': '10925c1c-0929-4ec5-8268-a8a52bd84631', 'name': 'Nonlinear dynamics', 'type': 'journal', 'alternate\_names': ['Nonlinear Dyn', 'Nonlinear Dynamics', 'Nonlinear dyn'], 'issn': '0924-090X', 'url': 'http://www.springer.com/11071', 'alternate\_urls': ['https://link.springer.com/journal/11071']} |
-| [Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation laws](https://www.semanticscholar.org/paper/8fc588323ba32123f635b9c7f7c1568a3f09ab38) | 2024-02-20 | 0 | {'name': 'Physical Review Research'} | {'id': '349f119f-f4ee-48cf-aedb-89bcb56ab8e3', 'name': 'Physical Review Research', 'type': 'journal', 'alternate\_names': ['Phys Rev Res'], 'issn': '2643-1564', 'url': 'https://journals.aps.org/prresearch'} |
-| [Extraction of nonlinearity in neural networks and model compression with Koopman operator](https://www.semanticscholar.org/paper/f090e77e916fba1a8f28cd4c46a65b0f2c9ae494) | 2024-02-18 | 0 | {'name': 'ArXiv', 'volume': 'abs/2402.11740'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Machine Learning based Prediction of Ditching Loads](https://www.semanticscholar.org/paper/cb1cf69a67974f03796db6657e21635ea6832285) | 2024-02-16 | 0 | {'name': 'ArXiv', 'volume': 'abs/2402.10724'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics](https://www.semanticscholar.org/paper/4e9fbef5c8daddbad96e50c3e1da8614d7772a75) | 2024-02-16 | 0 | {'name': 'ArXiv', 'volume': 'abs/2402.11126'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
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diff --git a/docs/Latent_Space_Simulator.md b/docs/Latent_Space_Simulator.md
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---
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-### 1. Search query
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-*(VAMP) | (latent space simul\*) | (decomposition of koopman operator) | (time-lagged autoencoder)*
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-### 2. Latent Space Simulator articles and citations over time
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-![Latent Space Simulator](assets/Latent_Space_Simulator.png)
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-### 3. Most cited articles on Latent Space Simulator
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-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
-| --- | --- | --- | --- | --- |
-| [Denoising Diffusion Implicit Models](https://www.semanticscholar.org/paper/014576b866078524286802b1d0e18628520aa886) | 2020-10-06 | 2512 | {'name': 'ArXiv', 'volume': 'abs/2010.02502'} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [GTM: The Generative Topographic Mapping](https://www.semanticscholar.org/paper/2639515c248f220c73d44688c0097a99b01e1474) | None | 1496 | {'name': 'Neural Computation', 'pages': '215-234', 'volume': '10'} | {'id': '69b9bcdd-8229-4a00-a6e0-00f0e99a2bf3', 'name': 'Neural Computation', 'type': 'journal', 'alternate\_names': ['Neural Comput'], 'issn': '0899-7667', 'url': 'http://cognet.mit.edu/library/journals/journal?issn=08997667', 'alternate\_urls': ['http://ieeexplore.ieee.org/servlet/opac?punumber=6720226', 'http://www.mitpressjournals.org/loi/neco', 'https://www.mitpressjournals.org/loi/neco']} |
-| [A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition](https://www.semanticscholar.org/paper/10cab2f43c29fe12e5a0d0718eb6e1ff8c9d4777) | 2014-08-19 | 1323 | {'name': 'Journal of Nonlinear Science', 'pages': '1307 - 1346', 'volume': '25'} | {'id': '619f4cc3-1d00-4060-b88d-9854843ac2c2', 'name': 'Journal of nonlinear science', 'type': 'journal', 'alternate\_names': ['J Nonlinear Sci', 'Journal of Nonlinear Science', 'J nonlinear sci'], 'issn': '0938-8974', 'url': 'https://link.springer.com/journal/332'} |
-| [Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection](https://www.semanticscholar.org/paper/dbc7401e3e75c40d3c720e7db3c906d48bd742d7) | 2018-02-15 | 1236 | {'name': '', 'volume': ''} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [Botulinum neurotoxin A selectively cleaves the synaptic protein SNAP-25](https://www.semanticscholar.org/paper/8af762911107a585f12decd890c4bc5df67dc3fb) | 1993-09-09 | 1165 | {'name': 'Nature', 'pages': '160-163', 'volume': '365'} | {'id': '6c24a0a0-b07d-4d7b-a19b-fd09a3ed453a', 'name': 'Nature', 'type': 'journal', 'issn': '0028-0836', 'url': 'https://www.nature.com/', 'alternate\_urls': ['http://www.nature.com/nature/', 'https://www.nature.com/nature/', 'http://www.nature.com/nature/archive/index.html']} |
-| [Poincaré Embeddings for Learning Hierarchical Representations](https://www.semanticscholar.org/paper/1590bd1bca945fc6ff50b8cdf2da14ea2061c79a) | 2017-05-22 | 1031 | {'name': 'ArXiv', 'volume': 'abs/1705.08039'} | {'id': 'd9720b90-d60b-48bc-9df8-87a30b9a60dd', 'name': 'Neural Information Processing Systems', 'type': 'conference', 'alternate\_names': ['Neural Inf Process Syst', 'NeurIPS', 'NIPS'], 'url': 'http://neurips.cc/'} |
-| [Validation of information recorded on general practitioner based computerised data resource in the United Kingdom.](https://www.semanticscholar.org/paper/66a626038ce5c68c0b28a1d6b74a3a135338a11e) | 1991-03-30 | 877 | {'name': 'British Medical Journal', 'pages': '766 - 768', 'volume': '302'} | {'id': '3048b449-a773-4256-9bb5-5e61fbb61e52', 'name': 'British medical journal', 'type': 'journal', 'alternate\_names': ['BMJ (Clinical Research Edition)', 'British Medical Journal', 'Br Med J', 'BMJ (british Med J', 'The BMJ (British Medical Journal)', 'eBMJ', 'Br med j', 'BMJ (clinical Res Ed', 'Br Med J (clinical Res Ed', 'British Medical Journal (Clinical Research Edition)', 'BMJ'], 'issn': '1759-2151', 'alternate\_issns': ['1756-1833', '0959-8138', '1790-5249', '1106-5028', '1468-5833', '0267-0623', '1222-5835', '1576-9445', '1106-4226'], 'url': 'https://www.bmj.com/', 'alternate\_urls': ['http://www.ibmj.net/', 'https://www.jstor.org/journal/bmjbritmedj', 'http://www.jstor.org/journals/09598138.html', 'http://www.bmj.ro/', 'http://www.bmj.com/bmj/', 'http://www.bmj.com/thebmj', 'http://www.jstor.org/action/showPublication?journalCode=bmjbritmedj', 'http://www.jstor.org/action/showPublication?journalCode=britmedjclires', 'https://www.bmj.com/archive']} |
-| [Cross-domain sentiment classification via spectral feature alignment](https://www.semanticscholar.org/paper/ca781a2fc31a28f653b222ca8afdedc90a009266) | 2010-04-26 | 792 | {'pages': '751-760'} | {'id': 'e07422f9-c065-40c3-a37b-75e98dce79fe', 'name': 'The Web Conference', 'type': 'conference', 'alternate\_names': ['Web Conf', 'WWW'], 'url': 'http://www.iw3c2.org/'} |
-| [Synaptic vesicle membrane fusion complex: action of clostridial neurotoxins on assembly.](https://www.semanticscholar.org/paper/d0baba24df9807ea8fa812f477fc8cd57adfe116) | 1994-11-01 | 783 | {'name': 'The EMBO Journal', 'volume': '13'} | {'id': 'b89f0ede-6fa8-4dd2-a8a7-f54695a00323', 'name': 'EMBO Journal', 'type': 'journal', 'alternate\_names': ['The EMBO Journal', 'EMBO J'], 'issn': '0261-4189', 'url': 'http://embojournal.npgjournals.com/', 'alternate\_urls': ['http://emboj.embopress.org/']} |
-| [VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks](https://www.semanticscholar.org/paper/631755c88361cdf537bbe1eff8bdf18c52d6c962) | 2006-05-15 | 732 | {'pages': '1216-1221'} | None |
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-### 4. Latest articles on Latent Space Simulator
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-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
-| --- | --- | --- | --- | --- |
-| [Topic Modeling on Document Networks With Dirichlet Optimal Transport Barycenter](https://www.semanticscholar.org/paper/f8db237dfcbac885f750f86939ce006268519cca) | 2024-03-01 | 0 | {'name': 'IEEE Transactions on Knowledge and Data Engineering', 'pages': '1328-1340', 'volume': '36'} | {'id': 'c6840156-ee10-4d78-8832-7f8909811576', 'name': 'IEEE Transactions on Knowledge and Data Engineering', 'type': 'journal', 'alternate\_names': ['IEEE Trans Knowl Data Eng'], 'issn': '1041-4347', 'url': 'https://www.computer.org/web/tkde', 'alternate\_urls': ['http://ieeexplore.ieee.org/servlet/opac?punumber=69']} |
-| [Multiclass and Multilabel Classifications by Consensus and Complementarity-Based Multiview Latent Space Projection](https://www.semanticscholar.org/paper/bee3c8b32859202472c917dab5a4757afb46a79f) | 2024-03-01 | 0 | {'name': 'IEEE Transactions on Systems, Man, and Cybernetics: Systems', 'pages': '1705-1718', 'volume': '54'} | None |
-| [Learning-Based Edge-Device Collaborative DNN Inference in IoVT Networks](https://www.semanticscholar.org/paper/81cabd91414b487f021c110ba9c70311ad6636e9) | 2024-03-01 | 0 | {'name': 'IEEE Internet of Things Journal', 'pages': '7989-8004', 'volume': '11'} | {'id': '228761ec-c40a-479b-8309-9dcbe9851bcd', 'name': 'IEEE Internet of Things Journal', 'type': 'journal', 'alternate\_names': ['IEEE Internet Thing J'], 'issn': '2327-4662', 'url': 'https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage.html?product=PER288-ELE', 'alternate\_urls': ['https://ieeexplore.ieee.org/servlet/opac?punumber=6488907', 'https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6488907', 'http://ieee-iotj.org/#']} |
-| [NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields](https://www.semanticscholar.org/paper/28c0ff11f5a18b051f591807d531429636fa8037) | 2024-03-01 | 0 | {'name': 'IEEE Robotics and Automation Letters', 'pages': '2431-2438', 'volume': '9'} | {'id': '93c335b7-edf4-45f5-8ddc-7c5835154945', 'name': 'IEEE Robotics and Automation Letters', 'alternate\_names': ['IEEE Robot Autom Lett'], 'issn': '2377-3766', 'url': 'https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage.html?product=PER481-ELE', 'alternate\_urls': ['http://ieeexplore.ieee.org/servlet/opac?punumber=7083369']} |
-| [Robust Three-Stage Dynamic Mode Decomposition for Analysis of Power System Oscillations](https://www.semanticscholar.org/paper/1a279d90354755f741f45618a5673e220a715fc7) | 2024-03-01 | 0 | {'name': 'IEEE Transactions on Power Systems', 'pages': '4000-4009', 'volume': '39'} | {'id': 'dbbda9ef-0504-4875-b893-5c964f6b8f0e', 'name': 'IEEE Transactions on Power Systems', 'type': 'journal', 'alternate\_names': ['IEEE Trans Power Syst'], 'issn': '0885-8950', 'url': 'http://ieeexplore.ieee.org/servlet/opac?punumber=59'} |
-| [Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients](https://www.semanticscholar.org/paper/ad7af3dfb3aa9bf417a98e84fb3bab61f46fc04f) | 2024-02-28 | 0 | {'name': 'Structural Health Monitoring'} | {'id': '928c5b4b-9a67-473f-996e-bf7e28c1e736', 'name': 'Structural Health Monitoring', 'type': 'journal', 'alternate\_names': ['Struct Health Monit', 'Struct Health Monit Int J', 'Structural Health Monitoring-an International Journal'], 'issn': '1475-9217', 'url': 'https://journals.sagepub.com/home/shm', 'alternate\_urls': ['http://shm.sagepub.com/']} |
-| [Spectral Time-Varying Pattern Causality and Its Application.](https://www.semanticscholar.org/paper/8129bbd354a9694aa23224775d4b612e427aa529) | 2024-02-28 | 0 | {'name': 'IEEE journal of biomedical and health informatics', 'volume': 'PP'} | {'id': 'eac74c9c-a5c0-417d-8088-8164a6a8bfb3', 'name': 'IEEE journal of biomedical and health informatics', 'type': 'journal', 'alternate\_names': ['IEEE Journal of Biomedical and Health Informatics', 'IEEE j biomed health informatics', 'IEEE J Biomed Health Informatics'], 'issn': '2168-2194', 'url': 'https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=6221020', 'alternate\_urls': ['https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221020']} |
-| [Big topic modeling based on a two-level hierarchical latent Beta-Liouville allocation for large-scale data and parameter streaming](https://www.semanticscholar.org/paper/714a07ff77f81ded2fd359c97468890d12a3dad2) | 2024-02-28 | 0 | {'name': 'Pattern Analysis and Applications', 'pages': '1-21', 'volume': '27'} | {'id': '69d98769-bd34-4c40-a508-895b6adfac86', 'name': 'Pattern Analysis and Applications', 'type': 'journal', 'alternate\_names': ['Pattern Anal Appl'], 'issn': '1433-7541', 'url': 'https://rd.springer.com/journal/10044'} |
-| [Sensor based Dance Coherent Action Generation Model using Deep Learning Framework](https://www.semanticscholar.org/paper/78b968af546e846d26bd851a619c438a70c6ce68) | 2024-02-24 | 0 | {'name': 'Scalable Computing: Practice and Experience'} | None |
-| [Monstrous Mushrooms, Toxic Love and Queer Utopias in Jenny Hval's Paradise Rot](https://www.semanticscholar.org/paper/cb8bbf850e7e0eef682ed7d42e23606bfce01cdc) | 2024-02-21 | 0 | {'name': 'Junctions: Graduate Journal of the Humanities'} | {'id': 'ad439cd7-5bd3-4d03-a3e4-17167ef8fb89', 'name': 'Junctions: Graduate Journal of the Humanities', 'type': 'journal', 'alternate\_names': ['Junction Grad J Humanit'], 'issn': '2468-8282', 'url': 'https://junctionsjournal.org/'} |
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+ (VAMP) | (latent space simul*) | (decomposition of koopman operator) | (time-lagged autoencoder)
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2. Latent Space Simulator articles and citations over time
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diff --git a/docs/Neural_ODEs.md b/docs/Neural_ODEs.md
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-### 1. Search query
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-*(neural ordinary differential equation) | (neural ODE) | (graph neural differential equation) | (graph neural diffusion) | (graph neural ODEs)*
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-### 2. Neural ODEs articles and citations over time
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-![Neural ODEs](assets/Neural_ODEs.png)
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-### 3. Most cited articles on Neural ODEs
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-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
-| --- | --- | --- | --- | --- |
-| [Neural Ordinary Differential Equations](https://www.semanticscholar.org/paper/449310e3538b08b43227d660227dfd2875c3c3c1) | 2018-06-19 | 3515 | {'pages': '6572-6583'} | {'id': 'd9720b90-d60b-48bc-9df8-87a30b9a60dd', 'name': 'Neural Information Processing Systems', 'type': 'conference', 'alternate\_names': ['Neural Inf Process Syst', 'NeurIPS', 'NIPS'], 'url': 'http://neurips.cc/'} |
-| [Score-Based Generative Modeling through Stochastic Differential Equations](https://www.semanticscholar.org/paper/633e2fbfc0b21e959a244100937c5853afca4853) | 2020-11-26 | 2596 | {'name': 'ArXiv', 'volume': 'abs/2011.13456'} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting](https://www.semanticscholar.org/paper/9ba0186ed40656329c421f55ada7313293e13f17) | 2017-07-06 | 2119 | {'name': 'arXiv: Learning', 'volume': ''} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [Artificial neural networks for solving ordinary and partial differential equations](https://www.semanticscholar.org/paper/5ebbe0b1a3d7a2431bbb25d6dfeec7ed6954d633) | 1997-05-19 | 1720 | {'name': 'IEEE transactions on neural networks', 'pages': '\n 987-1000\n ', 'volume': '9 5'} | None |
-| [Diffusion-Convolutional Neural Networks](https://www.semanticscholar.org/paper/18b47b83a373f33d6b902a3615f42c10f7600d72) | 2015-11-06 | 1082 | {'pages': '1993-2001'} | {'id': 'd9720b90-d60b-48bc-9df8-87a30b9a60dd', 'name': 'Neural Information Processing Systems', 'type': 'conference', 'alternate\_names': ['Neural Inf Process Syst', 'NeurIPS', 'NIPS'], 'url': 'http://neurips.cc/'} |
-| [Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs](https://www.semanticscholar.org/paper/1a39bb2caa151d15efd6718f3a80d9f4bff95af2) | 2017-04-10 | 1071 | {'name': '2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)', 'pages': '29-38'} | {'id': '768b87bb-8a18-4d9c-a161-4d483c776bcf', 'name': 'Computer Vision and Pattern Recognition', 'type': 'conference', 'alternate\_names': ['CVPR', 'Comput Vis Pattern Recognit'], 'issn': '1063-6919', 'url': 'https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000147', 'alternate\_urls': ['https://en.wikipedia.org/wiki/Conference\_on\_Computer\_Vision\_and\_Pattern\_Recognition']} |
-| [FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models](https://www.semanticscholar.org/paper/8afa6dd9f9ac46462a1fb70a757c4ae1cd45bbf6) | 2018-09-27 | 688 | {'name': 'ArXiv', 'volume': 'abs/1810.01367'} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [Stable architectures for deep neural networks](https://www.semanticscholar.org/paper/37be889f4654312109dc9c53395fe117adb0f72b) | 2017-05-09 | 591 | {'name': 'Inverse Problems', 'volume': '34'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Brian: A Simulator for Spiking Neural Networks in Python](https://www.semanticscholar.org/paper/aac882f968b720785613673508e7783f0efd7182) | 2008-07-11 | 526 | {'name': 'Frontiers in Neuroinformatics', 'volume': '2'} | {'id': '8eabe4e5-3d91-4297-ab8f-475904598d30', 'name': 'BMC Neuroscience', 'type': 'journal', 'alternate\_names': ['BMC Neurosci'], 'issn': '1471-2202', 'url': 'http://www.biomedcentral.com/bmcneurosci/', 'alternate\_urls': ['https://bmcneurosci.biomedcentral.com/', 'http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=49', 'http://www.biomedcentral.com/bmcneurosci/archive/']} |
-| [DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps](https://www.semanticscholar.org/paper/4530c25da949bb2185c50663158ef19d52e3c6b5) | 2022-06-02 | 495 | {'name': 'ArXiv', 'volume': 'abs/2206.00927'} | {'id': 'd9720b90-d60b-48bc-9df8-87a30b9a60dd', 'name': 'Neural Information Processing Systems', 'type': 'conference', 'alternate\_names': ['Neural Inf Process Syst', 'NeurIPS', 'NIPS'], 'url': 'http://neurips.cc/'} |
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-| [Continuous Image Outpainting with Neural ODE](https://www.semanticscholar.org/paper/2566d035a3d7f12df59b7053a610fbd54161562b) | 2024-03-02 | 0 | {'name': 'SSRN Electronic Journal'} | {'id': '75d7a8c1-d871-42db-a8e4-7cf5146fdb62', 'name': 'Social Science Research Network', 'type': 'journal', 'alternate\_names': ['SSRN, Social Science Research Network (SSRN) home page', 'SSRN Electronic Journal', 'Soc Sci Res Netw', 'SSRN', 'SSRN Home Page', 'SSRN Electron J', 'Social Science Electronic Publishing presents Social Science Research Network'], 'issn': '1556-5068', 'url': 'http://www.ssrn.com/', 'alternate\_urls': ['www.ssrn.com/', 'https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e', 'https://www.wikidata.org/wiki/Q53949192', 'www.ssrn.com/en', 'http://www.ssrn.com/en/', 'http://umlib.nl/ssrn', 'umlib.nl/ssrn']} |
-| [Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach](https://www.semanticscholar.org/paper/3779b87d10925ca2bf96c3b8b971330c8682e06e) | 2024-02-29 | 0 | {'pages': '44-54'} | None |
-| [Modelling and Distribution of Electricity Load Forecasting in Nigeria Power System (Olu-Ode Community)](https://www.semanticscholar.org/paper/77308f9484b9c372ad028e04301c07f5e92c566b) | 2024-02-28 | 0 | {'name': 'International Journal of Advanced Engineering and Nano Technology'} | {'id': 'b2a6f6aa-b866-4069-8e96-b765cd7776f9', 'name': 'International Journal of Advanced Engineering and Nano Technology', 'type': 'journal', 'alternate\_names': ['Int J Adv Eng Nano Technol'], 'issn': '2347-6389', 'url': 'https://www.ijaent.org/'} |
-| [Changes in Structural Neural Networks in the Recovery Process of Motor Paralysis after Stroke](https://www.semanticscholar.org/paper/93a3bdec5c232a639d5cd0be5f7cb430caafdd2f) | 2024-02-21 | 0 | {'name': 'Brain Sciences'} | {'id': '39058e09-c13a-4545-a8a3-a75581460bc2', 'name': 'Brain Science', 'type': 'journal', 'alternate\_names': ['Brain Sciences', 'Brain Sci'], 'issn': '2570-0197', 'alternate\_issns': ['2076-3425'], 'url': 'http://www.e-helvetica.nb.admin.ch/directAccess?callnumber=bel-217894', 'alternate\_urls': ['https://www.mdpi.com/journal/brainsci', 'https://epub.uni-regensburg.de/37319/', 'http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:ch:bel-217894']} |
-| [Zhang neural networks: an introduction to predictive computations for discretized time-varying matrix problems](https://www.semanticscholar.org/paper/d9b9e3efbe9528468442ca216a59223847d31fa4) | 2024-02-19 | 0 | {'name': 'Numerische Mathematik'} | {'id': '23ed2049-ad4e-4e12-8e48-a4e55bc4e377', 'name': 'Numerische Mathematik', 'type': 'journal', 'alternate\_names': ['Numer Math'], 'issn': '0029-599X', 'url': 'http://www.springer.com/mathematics/numerical+and+computational+mathematics/journal/211', 'alternate\_urls': ['http://www.digizeitschriften.de/main/dms/toc/?PPN=PPN362160546', 'https://link.springer.com/journal/211']} |
-| [Emulating the interstellar medium chemistry with neural operators](https://www.semanticscholar.org/paper/5005529d4850a80e2234177e2a2625ed7ac60a68) | 2024-02-19 | 0 | {'name': 'Astronomy & Astrophysics'} | None |
-| [Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation](https://www.semanticscholar.org/paper/94e459909290d427dffaee3052a19ed32300b89a) | 2024-02-18 | 0 | {'name': 'ArXiv', 'volume': 'abs/2402.11558'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes](https://www.semanticscholar.org/paper/3e64d1ecf181a7115d7f4a61834f1e7e7defc6bf) | 2024-02-17 | 0 | {'name': 'ArXiv', 'volume': 'abs/2402.11179'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling](https://www.semanticscholar.org/paper/5ee2008c1eab4545f1e001b2cf3c0578b7a1aafe) | 2024-02-16 | 1 | {'name': 'ArXiv', 'volume': 'abs/2402.10635'} | {'id': 'd9720b90-d60b-48bc-9df8-87a30b9a60dd', 'name': 'Neural Information Processing Systems', 'type': 'conference', 'alternate\_names': ['Neural Inf Process Syst', 'NeurIPS', 'NIPS'], 'url': 'http://neurips.cc/'} |
-| [Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking](https://www.semanticscholar.org/paper/dfb10dec07e4e45faec83014d0c6764bd5a0a588) | 2024-02-15 | 0 | {'name': 'ArXiv', 'volume': 'abs/2402.09865'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
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Table of Contents
+ 1. Search Query
+ 2. Neural ODEs articles and citations over time
+ 3. Most cited articles on Neural ODEs
+ 4. Latest articles on Neural ODEs
+
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1. Search query
+ (neural ordinary differential equation) | (neural ODE) | (graph neural differential equation) | (graph neural diffusion) | (graph neural ODEs)
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2. Neural ODEs articles and citations over time
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diff --git a/docs/PINNs.md b/docs/PINNs.md
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hide:
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-*(physics-informed neural computing)*
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-![PINNs](assets/PINNs.png)
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-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
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-| [Physics-informed learning of governing equations from scarce data](https://www.semanticscholar.org/paper/e596988b1df3a0bc78bf72c0bfdb21c85eaab6c9) | 2020-05-05 | 177 | {'name': 'Nature Communications', 'volume': '12'} | {'id': '43b3f0f9-489a-4566-8164-02fafde3cd98', 'name': 'Nature Communications', 'type': 'journal', 'alternate\_names': ['Nat Commun'], 'issn': '2041-1723', 'url': 'https://www.nature.com/ncomms/', 'alternate\_urls': ['http://www.nature.com/ncomms/about/index.html', 'http://www.nature.com/ncomms/index.html']} |
-| [Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks](https://www.semanticscholar.org/paper/7fdccf0d550e1a8db830d280bbf3e7b3e6d66653) | 2019-05-03 | 160 | {'name': 'ArXiv', 'volume': 'abs/1905.01205'} | {'id': '0e3b51a7-21d8-477c-8918-14a55f087532', 'name': 'SIAM Journal on Scientific Computing', 'type': 'journal', 'alternate\_names': ['SIAM J Sci Comput'], 'issn': '1064-8275', 'url': 'http://www.siam.org/journals/sisc.php', 'alternate\_urls': ['https://epubs.siam.org/journal/sjoce3']} |
-| [Efficient training of physics‐informed neural networks via importance sampling](https://www.semanticscholar.org/paper/af68d37e2721abe702bacfcea5111f9ec59012ce) | 2021-04-26 | 113 | {'name': 'Computer‐Aided Civil and Infrastructure Engineering', 'pages': '962 - 977', 'volume': '36'} | None |
-| [The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?](https://www.semanticscholar.org/paper/1a0db1672f4d08a81b02fd35453d5d04d3013635) | 2021-03-12 | 109 | {'name': 'Frontiers in Big Data', 'volume': '4'} | {'id': '165fa1b5-e07f-4b6e-9203-04493f6a7c5c', 'name': 'Frontiers in Big Data', 'alternate\_names': ['Front Big Data'], 'issn': '2624-909X', 'url': 'https://www.frontiersin.org/journals/big-data'} |
-| [ClimaX: A foundation model for weather and climate](https://www.semanticscholar.org/paper/874deb5f06f35e52ae13a921b23611eec4abd1da) | 2023-01-24 | 87 | {'pages': '25904-25938'} | {'id': 'fc0a208c-acb7-47dc-a0d4-af8190e21d29', 'name': 'International Conference on Machine Learning', 'type': 'conference', 'alternate\_names': ['ICML', 'Int Conf Mach Learn'], 'url': 'https://icml.cc/'} |
-| [A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems](https://www.semanticscholar.org/paper/bde6492eb852a10ffd4bba5d7df23e37f9b81a3e) | 2021-03-25 | 52 | {'name': 'IEEE Signal Processing Magazine', 'pages': '68-77', 'volume': '39'} | {'id': 'f62e5eab-173a-4e0a-a963-ed8de9835d22', 'name': 'IEEE Signal Processing Magazine', 'type': 'journal', 'alternate\_names': ['IEEE Signal Process Mag'], 'issn': '1053-5888', 'url': 'http://ieeexplore.ieee.org/servlet/opac?punumber=79', 'alternate\_urls': ['https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=79']} |
-| [NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations](https://www.semanticscholar.org/paper/e15133cfd09c2a2eb98c38468a897866a904d125) | 2021-07-19 | 44 | {'name': 'ArXiv', 'volume': 'abs/2107.09443'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations](https://www.semanticscholar.org/paper/373a6cb7cf455191a81cd16649e0a02ecb558e7a) | 2019-04-02 | 33 | {'name': 'ArXiv', 'volume': 'abs/1904.04058'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [A novel meta-learning initialization method for physics-informed neural networks](https://www.semanticscholar.org/paper/d6be8e09ed6c47e8b5c459ef4bab1015afb01973) | 2021-07-23 | 32 | {'name': 'Neural Computing and Applications', 'pages': '14511 - 14534', 'volume': '34'} | None |
-| [Identification and prediction of time-varying parameters of COVID-19 model: a data-driven deep learning approach](https://www.semanticscholar.org/paper/387f4a128f84ddd9ce7fa530711dd7918b037978) | 2021-03-17 | 31 | {'name': 'International Journal of Computer Mathematics', 'pages': '1617 - 1632', 'volume': '98'} | {'id': '0815ec9f-1740-4242-ab39-5e71b6d57346', 'name': 'International Journal of Computational Mathematics', 'type': 'journal', 'alternate\_names': ['International Journal of Computer-Generated Mathematics', 'Int J Comput Math', 'International Journal of Computer Mathematics'], 'issn': '2314-856X', 'alternate\_issns': ['0020-7160', '2367-6493'], 'url': 'https://www.hindawi.com/journals/ijcm/', 'alternate\_urls': ['http://www.tandf.co.uk/journals/default.asp', 'http://www.ddekov.eu/j/', 'http://www.tandfonline.com/loi/gcom20']} |
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-| [New insights into experimental stratified flows obtained through physics-informed neural networks](https://www.semanticscholar.org/paper/55f66c4639902b7bdca1ec3db18e08cf98bcd301) | 2024-02-23 | 0 | {'name': 'Journal of Fluid Mechanics'} | {'id': 'fb1aca4e-2d42-48af-83dc-f5b1a3651a36', 'name': 'Journal of Fluid Mechanics', 'type': 'journal', 'alternate\_names': ['J Fluid Mech'], 'issn': '0022-1120', 'url': 'https://www.cambridge.org/core/journals/journal-of-fluid-mechanics', 'alternate\_urls': ['http://journals.cambridge.org/action/displayJournal?jid=FLM', 'http://www.journals.cambridge.org/bin/bladerunner?30REQEVENT=&500002REQSUB=&REQAUTH=0&REQSTR1=JournalofFluidMechanics']} |
-| [Regression Transients Modeling of Solid Rocket Motor Burning Surfaces with Physics-guided Neural Network](https://www.semanticscholar.org/paper/043675aed01841c86c684457b8e88066f6094bc3) | 2024-02-14 | 0 | {'name': 'Machine Learning: Science and Technology'} | None |
-| [Energy-based PINNs for solving coupled field problems: concepts and application to the optimal design of an induction heater](https://www.semanticscholar.org/paper/6620d79b3603639d1a1d4054de4e09c2c977b7f0) | 2024-02-09 | 0 | {'name': 'ArXiv', 'volume': 'abs/2402.06261'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Enriched Physics-informed Neural Networks for Dynamic Poisson-Nernst-Planck Systems](https://www.semanticscholar.org/paper/bc3d14c809e0a8da182bcb2f30797c5edaa3fd48) | 2024-02-01 | 0 | {'name': 'ArXiv', 'volume': 'abs/2402.01768'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Physics-informed neural networks with domain decomposition for the incompressible Navier–Stokes equations](https://www.semanticscholar.org/paper/6ab365eb128bf97c7779805806184c8d2a0f0ec1) | 2024-02-01 | 0 | {'name': 'Physics of Fluids'} | {'id': 'fcb86ed6-f18e-4059-9779-7acc73d8b8ab', 'name': 'The Physics of Fluids', 'type': 'journal', 'alternate\_names': ['Physics of Fluids', 'Phys Fluid'], 'issn': '0031-9171', 'alternate\_issns': ['1070-6631'], 'url': 'https://aip.scitation.org/journal/phf', 'alternate\_urls': ['http://pof.aip.org/']} |
-| [Adaptive Deep Fourier Residual method via overlapping domain decomposition](https://www.semanticscholar.org/paper/ba5b00d09b5cb44c3b59d86e4cf051430f984474) | 2024-01-09 | 0 | {'name': 'ArXiv', 'volume': 'abs/2401.04663'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Computing the Gerber-Shiu function with interest and a constant dividend barrier by physics-informed neural networks](https://www.semanticscholar.org/paper/a852a6c427fcbffcad2a3c4f179d9a82cbdbef47) | 2024-01-09 | 0 | {'name': 'ArXiv', 'volume': 'abs/2401.04378'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Modeling multisource multifrequency acoustic wavefields by a multiscale Fourier feature physics-informed neural network with adaptive activation functions](https://www.semanticscholar.org/paper/27b4ccd8fef1d27856300460ecc7fbfdd0e73c81) | 2024-01-09 | 0 | {'name': 'GEOPHYSICS'} | {'id': '74f68976-b242-4148-9315-8fd8095a9ecd', 'name': 'Geophysics', 'type': 'journal', 'issn': '0016-8033', 'url': 'http://www.geo-online.org/', 'alternate\_urls': ['https://library.seg.org/journal/gpysa7']} |
-| [Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics](https://www.semanticscholar.org/paper/bc9ae66c84e31839015dd30c0bd76548bf1b7a5c) | 2024-01-08 | 4 | {'name': 'Journal of Computing and Information Science in Engineering'} | {'id': 'd029f971-f74c-41ca-8373-1b713414c797', 'name': 'Journal of Computing and Information Science in Engineering', 'type': 'journal', 'alternate\_names': ['J Comput Inf Sci Eng'], 'issn': '1530-9827', 'url': 'https://www.asme.org/', 'alternate\_urls': ['http://computingengineering.asmedigitalcollection.asme.org/journal.aspx?journalid=116', 'http://computingengineering.asmedigitalcollection.asme.org/', 'http://computingengineering.asmedigitalcollection.asme.org/journal.aspx']} |
-| [Solving real-world optimization tasks using physics-informed neural computing](https://www.semanticscholar.org/paper/23c7b93a379c26c3738921282771e1a545538703) | 2024-01-08 | 1 | {'name': 'Scientific Reports', 'volume': '14'} | {'id': 'f99f77b7-b1b6-44d3-984a-f288e9884b9b', 'name': 'Scientific Reports', 'type': 'journal', 'alternate\_names': ['Sci Rep'], 'issn': '2045-2322', 'url': 'http://www.nature.com/srep/', 'alternate\_urls': ['http://www.nature.com/srep/index.html']} |
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diff --git a/docs/Physics-informed_GNNs.md b/docs/Physics-informed_GNNs.md
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-### 1. Search query
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-*(graph networks) | (physics constrain) | (learned simulator) | (learned simulation)*
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-### 2. Physics-informed GNNs articles and citations over time
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-![Physics-informed GNNs](assets/Physics-informed_GNNs.png)
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-### 3. Most cited articles on Physics-informed GNNs
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-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
-| --- | --- | --- | --- | --- |
-| [Gradient-based learning applied to document recognition](https://www.semanticscholar.org/paper/162d958ff885f1462aeda91cd72582323fd6a1f4) | None | 46003 | {'name': 'Proc. IEEE', 'pages': '2278-2324', 'volume': '86'} | {'id': '6faaccca-1cc4-45a9-aeb6-96a4901d2606', 'name': 'Proceedings of the IEEE', 'type': 'journal', 'alternate\_names': ['Proc IEEE'], 'issn': '0018-9219', 'alternate\_issns': ['1558-2256'], 'url': 'http://www.ieee.org/portal/pages/pubs/proceedings/', 'alternate\_urls': ['http://www.ieee.org/products/onlinepubs/pub/about\_conference.html', 'https://ieeexplore.ieee.org/servlet/opac?punumber=5', 'http://proceedingsoftheieee.ieee.org/']} |
-| [Collective dynamics of ‘small-world’ networks](https://www.semanticscholar.org/paper/d61031326150ba23f90e6587c13d99188209250e) | 1998-06-04 | 38484 | {'name': 'Nature', 'pages': '440-442', 'volume': '393'} | {'id': '6c24a0a0-b07d-4d7b-a19b-fd09a3ed453a', 'name': 'Nature', 'type': 'journal', 'issn': '0028-0836', 'url': 'https://www.nature.com/', 'alternate\_urls': ['http://www.nature.com/nature/', 'https://www.nature.com/nature/', 'http://www.nature.com/nature/archive/index.html']} |
-| [Semi-Supervised Classification with Graph Convolutional Networks](https://www.semanticscholar.org/paper/36eff562f65125511b5dfab68ce7f7a943c27478) | 2016-09-09 | 22114 | {'name': 'ArXiv', 'volume': 'abs/1609.02907'} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [Statistical mechanics of complex networks](https://www.semanticscholar.org/paper/dce8146987557735a19771aefa1f027211a2c275) | 2001-06-06 | 18824 | {'name': 'ArXiv', 'volume': 'cond-mat/0106096'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [The Structure and Function of Complex Networks](https://www.semanticscholar.org/paper/e6c4925fb114d13a8568f88957c167c928f0c9f1) | 2003-03-25 | 16785 | {'name': 'SIAM Rev.', 'pages': '167-256', 'volume': '45'} | {'id': '8f59dd66-e4cd-4341-8ea9-9a03d965a009', 'name': 'SIAM Review', 'type': 'journal', 'alternate\_names': ['SIAM Rev', 'Siam Rev', 'Siam Review'], 'issn': '0036-1445', 'url': 'https://www.jstor.org/journal/siamreview', 'alternate\_urls': ['http://www.jstor.org/journals/00361445.html', 'https://epubs.siam.org/journal/siread', 'http://www.siam.org/journals/sirev.php']} |
-| [TensorFlow: A system for large-scale machine learning](https://www.semanticscholar.org/paper/4954fa180728932959997a4768411ff9136aac81) | 2016-05-27 | 16703 | {'pages': '265-283'} | {'id': '86c43745-31d9-4c1a-b33f-ce3aa0042dbb', 'name': 'USENIX Symposium on Operating Systems Design and Implementation', 'type': 'conference', 'alternate\_names': ['Oper Syst Des Implement', 'Operating Systems Design and Implementation', 'OSDI', 'USENIX Symp Oper Syst Des Implement']} |
-| [Community structure in social and biological networks](https://www.semanticscholar.org/paper/2a005868b79511cf8c924cd5990e2497527a0527) | 2001-12-07 | 14280 | {'name': 'Proceedings of the National Academy of Sciences of the United States of America', 'pages': '7821 - 7826', 'volume': '99'} | {'id': 'bb95bf2e-8383-4748-bf9d-d6906d091085', 'name': 'Proceedings of the National Academy of Sciences of the United States of America', 'type': 'journal', 'alternate\_names': ['PNAS', 'PNAS online', 'Proceedings of the National Academy of Sciences of the United States of America.', 'Proc National Acad Sci', 'Proceedings of the National Academy of Sciences', 'Proc National Acad Sci u s Am'], 'issn': '0027-8424', 'alternate\_issns': ['1091-6490'], 'url': 'https://www.jstor.org/journal/procnatiacadscie', 'alternate\_urls': ['http://www.pnas.org/', 'https://www.pnas.org/', 'http://www.jstor.org/journals/00278424.html', 'www.pnas.org/']} |
-| [Graph Attention Networks](https://www.semanticscholar.org/paper/33998aff64ce51df8dee45989cdca4b6b1329ec4) | 2017-10-30 | 13972 | {'name': 'ArXiv', 'volume': 'abs/1710.10903'} | {'id': '939c6e1d-0d17-4d6e-8a82-66d960df0e40', 'name': 'International Conference on Learning Representations', 'type': 'conference', 'alternate\_names': ['Int Conf Learn Represent', 'ICLR'], 'url': 'https://iclr.cc/'} |
-| [PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation](https://www.semanticscholar.org/paper/450106c6c960424b365249f2a301ce0abe24e346) | 2018-10-02 | 12792 | {'name': 'Annals of Internal Medicine', 'pages': '467-473', 'volume': '169'} | {'id': '643b0c17-99ac-463b-81c4-df44ad66e34d', 'name': 'Annals of Internal Medicine', 'type': 'journal', 'alternate\_names': ['Ann Intern Med'], 'issn': '0003-4819', 'url': 'http://www.acponline.org/journals/annals/annaltoc.htm', 'alternate\_urls': ['http://www.annals.org/']} |
-| [Consensus problems in networks of agents with switching topology and time-delays](https://www.semanticscholar.org/paper/9839ed2281ba4b589bf88c7e4acc48c9fa6fb933) | 2004-09-13 | 11249 | {'name': 'IEEE Transactions on Automatic Control', 'pages': '1520-1533', 'volume': '49'} | {'id': '1283a59c-0d1f-48c3-81d7-02172f597e70', 'name': 'IEEE Transactions on Automatic Control', 'type': 'journal', 'alternate\_names': ['IEEE Trans Autom Control'], 'issn': '0018-9286', 'url': 'http://ieeexplore.ieee.org/servlet/opac?punumber=9'} |
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-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
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-| [Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation](https://www.semanticscholar.org/paper/04744b6893487a608e3726fb4542e2a7f9e81a5b) | 2024-06-01 | 0 | {'name': 'Information Fusion'} | {'id': '06afdd0b-0d85-413f-af8a-c3045c12c561', 'name': 'Information Fusion', 'type': 'journal', 'alternate\_names': ['Inf Fusion'], 'issn': '1566-2535', 'url': 'https://www.journals.elsevier.com/information-fusion', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/15662535']} |
-| [Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation](https://www.semanticscholar.org/paper/ba23319a62da63ec3b664f6452bb7a9aee8a46dc) | 2024-05-01 | 0 | {'name': 'Control Engineering Practice'} | {'id': 'af74e393-8f45-41cd-915b-734494cb48f2', 'name': 'Control Engineering Practice', 'type': 'journal', 'alternate\_names': ['Control Eng Pract'], 'issn': '0967-0661', 'url': 'http://www.elsevier.com/wps/find/journaldescription.cws\_home/123/description#description', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/09670661']} |
-| [MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning](https://www.semanticscholar.org/paper/a1a503c7c23502bebe94eb042b0ce9f8bdbb6504) | 2024-05-01 | 0 | {'name': 'Inf. Fusion', 'pages': '102250', 'volume': '105'} | {'id': '06afdd0b-0d85-413f-af8a-c3045c12c561', 'name': 'Information Fusion', 'type': 'journal', 'alternate\_names': ['Inf Fusion'], 'issn': '1566-2535', 'url': 'https://www.journals.elsevier.com/information-fusion', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/15662535']} |
-| [DawnGNN: Documentation augmented windows malware detection using graph neural network](https://www.semanticscholar.org/paper/45cb2614652147789e18f1bc15d665977d2d1ee9) | 2024-05-01 | 0 | {'name': 'Computers & Security'} | None |
-| [Multi-level Graph Memory Network Cluster Convolutional Recurrent Network for traffic forecasting](https://www.semanticscholar.org/paper/357677ec8b2223f049c45c7330633a5b85c2bc95) | 2024-05-01 | 0 | {'name': 'Inf. Fusion', 'pages': '102214', 'volume': '105'} | {'id': '06afdd0b-0d85-413f-af8a-c3045c12c561', 'name': 'Information Fusion', 'type': 'journal', 'alternate\_names': ['Inf Fusion'], 'issn': '1566-2535', 'url': 'https://www.journals.elsevier.com/information-fusion', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/15662535']} |
-| [FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records](https://www.semanticscholar.org/paper/3383c82d39b88e5349d345e32e879806bd72d435) | 2024-05-01 | 0 | {'name': 'Information Processing & Management'} | None |
-| [Multi-criteria group decision making based on graph neural networks in Pythagorean fuzzy environment](https://www.semanticscholar.org/paper/13a50769f110029fcb3390956789aec236071c53) | 2024-05-01 | 1 | {'name': 'Expert Systems with Applications'} | {'id': '987139ae-a65d-49bb-aaf6-fb764dc40b19', 'name': 'Expert systems with applications', 'type': 'journal', 'alternate\_names': ['Expert syst appl', 'Expert Systems With Applications', 'Expert Syst Appl'], 'issn': '0957-4174', 'url': 'https://www.journals.elsevier.com/expert-systems-with-applications/', 'alternate\_urls': ['https://www.sciencedirect.com/journal/expert-systems-with-applications', 'http://www.sciencedirect.com/science/journal/09574174']} |
-| [POI recommendation for random groups based on cooperative graph neural networks](https://www.semanticscholar.org/paper/0cfd9a1774cf41ff07e957bbc25d14596d529c4f) | 2024-05-01 | 0 | {'name': 'Information Processing & Management'} | None |
-| [Attention based multi-task interpretable graph convolutional network for Alzheimer’s disease analysis](https://www.semanticscholar.org/paper/fc5ee86473fd698e3f4405b51bdfe0575304a30d) | 2024-04-01 | 0 | {'name': 'Pattern Recognition Letters'} | {'id': 'f35e3e87-9df4-497b-aa0d-bb8584197290', 'name': 'Pattern Recognition Letters', 'type': 'journal', 'alternate\_names': ['Pattern Recognit Lett'], 'issn': '0167-8655', 'url': 'https://www.journals.elsevier.com/pattern-recognition-letters/', 'alternate\_urls': ['http://www.journals.elsevier.com/pattern-recognition-letters/', 'http://www.sciencedirect.com/science/journal/01678655']} |
-| [A coarse-to-fine adaptive spatial–temporal graph convolution network with residuals for motor imagery decoding from the same limb](https://www.semanticscholar.org/paper/f56be81f12e0c0bdf632d5feeaf028dfb791223a) | 2024-04-01 | 0 | {'name': 'Biomedical Signal Processing and Control'} | {'id': '1bac31b4-014a-4981-ae41-af2a40acc162', 'name': 'Biomedical Signal Processing and Control', 'type': 'journal', 'alternate\_names': ['Biomed Signal Process Control'], 'issn': '1746-8094', 'url': 'https://www.journals.elsevier.com/biomedical-signal-processing-and-control', 'alternate\_urls': ['http://www.sciencedirect.com/science/journal/17468094']} |
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+ 2. Physics-informed GNNs articles and citations over time
+ 3. Most cited articles on Physics-informed GNNs
+ 4. Latest articles on Physics-informed GNNs
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+ (graph networks) | (physics constrain) | (learned simulator) | (learned simulation)
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diff --git a/docs/Symbolic_regression.md b/docs/Symbolic_regression.md
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hide:
- navigation
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-*((symbolic regression) + dynamics)*
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-### 2. Symbolic regression articles and citations over time
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-![Symbolic regression](assets/Symbolic_regression.png)
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-| Title | PublicationDate | #Citations | Journal/Conference | publicationVenue |
-| --- | --- | --- | --- | --- |
-| [Symbolic Dynamic Programming for First-Order MDPs](https://www.semanticscholar.org/paper/9d59f87b881017e6ef0198636a77ad04b7ebea7a) | 2001-08-04 | 277 | {'pages': '690-700'} | {'id': '67f7f831-711a-43c8-8785-1e09005359b5', 'name': 'International Joint Conference on Artificial Intelligence', 'type': 'conference', 'alternate\_names': ['Int Jt Conf Artif Intell', 'IJCAI'], 'url': 'http://www.ijcai.org/'} |
-| [On Neural Differential Equations](https://www.semanticscholar.org/paper/1f7ba0832203ab808fc8d6706836c591754b79da) | 2022-02-04 | 124 | {'name': 'ArXiv', 'volume': 'abs/2202.02435'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [A Survey And Analysis Of Diversity Measures In Genetic Programming](https://www.semanticscholar.org/paper/a164d4e754c8ef81b9e56a3aefcfbe92a06af9b2) | 2002-07-09 | 104 | {'pages': '716-723'} | {'id': 'd732841e-83f9-49ec-95ca-389e5568634b', 'name': 'Annual Conference on Genetic and Evolutionary Computation', 'type': 'conference', 'alternate\_names': ['GECCO', 'Annu Conf Genet Evol Comput', 'Genet Evol Comput Conf', 'Genetic and Evolutionary Computation Conference'], 'url': 'http://www.sigevo.org/'} |
-| [Prediction of dynamical systems by symbolic regression.](https://www.semanticscholar.org/paper/99c7d71317f3532cdcf83f072d644c236610221d) | 2016-02-15 | 91 | {'name': 'Physical review. E', 'pages': '\n 012214\n ', 'volume': '94 1-1'} | {'id': '19842b7b-a4d1-4f9a-9714-87d878cf6e73', 'name': 'Physical Review E', 'type': 'journal', 'alternate\_names': ['Phys rev E', 'Physical review. E', 'Phys Rev E'], 'issn': '1539-3755', 'alternate\_issns': ['1550-2376', '2470-0045'], 'url': 'https://journals.aps.org/pre/', 'alternate\_urls': ['http://pre.aps.org/', 'http://journals.aps.org/pre/']} |
-| [Take Their Word for It: The Symbolic Role of Linguistic Style Matches in User Communities](https://www.semanticscholar.org/paper/7f701c60d0b73af3ad2b70c6303e0cac18fc47a4) | 2014-12-01 | 69 | {'name': 'MIS Q.', 'pages': '1201-1217', 'volume': '38'} | None |
-| [Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods](https://www.semanticscholar.org/paper/8c44933472c5f6e871197be88ba9477ac577ebc6) | 2017-08-08 | 67 | {'name': 'Journal of Medical Systems', 'pages': '1-20', 'volume': '41'} | {'id': '79c59592-820f-4ed1-87df-db795b4326be', 'name': 'Journal of medical systems', 'type': 'journal', 'alternate\_names': ['J Med Syst', 'Journal of Medical Systems', 'J med syst'], 'issn': '0148-5598', 'url': 'https://link.springer.com/journal/10916'} |
-| [Who Is Responsible for the Gender Gap? The Dynamics of Men’s and Women’s Democratic Macropartisanship, 1950–2012](https://www.semanticscholar.org/paper/ea19352c48d8e1f514ed04c87262c6e2f2069616) | 2017-07-03 | 61 | {'name': 'Political Research Quarterly', 'pages': '749 - 761', 'volume': '70'} | None |
-| [On the closed form computation of the dynamic matrices and their differentiations](https://www.semanticscholar.org/paper/ef2824bb7e720bc6448d7e8e4496a49f9a5d2717) | 2013-11-01 | 55 | {'name': '2013 IEEE/RSJ International Conference on Intelligent Robots and Systems', 'pages': '2364-2359'} | None |
-| [Automatic rule identification for agent-based crowd models through gene expression programming](https://www.semanticscholar.org/paper/6e4abe45f2981c8e0dc0cc2e2615f7b1bb1fcd68) | 2014-05-05 | 49 | {'pages': '1125-1132'} | {'id': '6c3a9833-5fac-49d3-b7e7-64910bd40b4e', 'name': 'Adaptive Agents and Multi-Agent Systems', 'type': 'conference', 'alternate\_names': ['Adapt Agent Multi-agent Syst', 'International Joint Conference on Autonomous Agents & Multiagent Systems', 'Adapt Agent Multi-agents Syst', 'AAMAS', 'Adaptive Agents and Multi-Agents Systems', 'Int Jt Conf Auton Agent Multiagent Syst'], 'url': 'http://www.ifaamas.org/'} |
-| [Rediscovering orbital mechanics with machine learning](https://www.semanticscholar.org/paper/0d774d92c9c03648a213e5dc416065b0b72d894e) | 2022-02-04 | 46 | {'name': 'Machine Learning: Science and Technology', 'volume': '4'} | None |
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-| --- | --- | --- | --- | --- |
-| [Shared professional logics amongst managers and bureaucrats in Brazilian social security: a street-level mixed-methods study](https://www.semanticscholar.org/paper/3c2bc03831c40da210da5f02806386981973ba48) | 2024-02-20 | 0 | {'name': 'International Journal of Public Sector Management'} | {'id': '39bcb8aa-e2fe-4135-bdce-6794f52e3e76', 'name': 'International Journal of Public Sector Management', 'type': 'journal', 'alternate\_names': ['Int J Public Sect Manag'], 'issn': '0951-3558', 'url': 'https://www.emerald.com/insight/publication/issn/0951-3558', 'alternate\_urls': ['http://www.emeraldinsight.com/0951-3558.htm']} |
-| [Excitation Trajectory Optimization for Dynamic Parameter Identification Using Virtual Constraints in Hands-on Robotic System](https://www.semanticscholar.org/paper/f5c21a0dd557e33b683cab99268d37b04cc912bd) | 2024-01-29 | 0 | {'name': 'ArXiv', 'volume': 'abs/2401.16566'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Population Dynamics in Genetic Programming for Dynamic Symbolic Regression](https://www.semanticscholar.org/paper/0fa5509ee2975b72c8a47ba5f0a60b84774cfd80) | 2024-01-10 | 0 | {'name': 'Applied Sciences'} | {'id': '136edf8d-0f88-4c2c-830f-461c6a9b842e', 'name': 'Applied Sciences', 'type': 'journal', 'alternate\_names': ['Appl Sci'], 'issn': '2076-3417', 'url': 'http://www.e-helvetica.nb.admin.ch/directAccess?callnumber=bel-217814', 'alternate\_urls': ['http://www.mathem.pub.ro/apps/', 'https://www.mdpi.com/journal/applsci', 'http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:ch:bel-217814']} |
-| [Reassessing the transport properties of fluids: A symbolic regression approach.](https://www.semanticscholar.org/paper/7864dd40fc44eb8517ef0e87b7f9e965772ece9d) | 2024-01-01 | 0 | {'name': 'Physical review. E', 'pages': '\n 015105\n ', 'volume': '109 1-2'} | {'id': '19842b7b-a4d1-4f9a-9714-87d878cf6e73', 'name': 'Physical Review E', 'type': 'journal', 'alternate\_names': ['Phys rev E', 'Physical review. E', 'Phys Rev E'], 'issn': '1539-3755', 'alternate\_issns': ['1550-2376', '2470-0045'], 'url': 'https://journals.aps.org/pre/', 'alternate\_urls': ['http://pre.aps.org/', 'http://journals.aps.org/pre/']} |
-| [(Invited) Electrochemical Interfaces in Energy Storage: Theory Meets Experiment](https://www.semanticscholar.org/paper/d97335e9ed5301ea056f8957faa5f5b7ef105fac) | 2023-12-22 | 0 | {'name': 'ECS Meeting Abstracts'} | {'id': '4718308a-312e-40e7-a6f2-5110d1359b6a', 'name': 'ECS Meeting Abstracts', 'alternate\_names': ['EC Meet Abstr'], 'issn': '1091-8213', 'url': 'http://ma.ecsdl.org/'} |
-| [AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression](https://www.semanticscholar.org/paper/f5cccd316e70bd2366e67260e1f691761bd512d3) | 2023-12-21 | 0 | {'name': 'ArXiv', 'volume': 'abs/2312.14237'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Machine Learning-Based Approach to Wind Turbine Wake Prediction under Yawed Conditions](https://www.semanticscholar.org/paper/ef9533aa3205d0fc999fa12e703d43899f09191b) | 2023-11-04 | 2 | {'name': 'Journal of Marine Science and Engineering'} | {'id': 'fff3549c-df24-4aef-accb-a33ae442a828', 'name': 'Journal of Marine Science and Engineering', 'type': 'journal', 'alternate\_names': ['J Mar Sci Eng'], 'issn': '2077-1312', 'url': 'https://www.mdpi.com/journal/jmse'} |
-| [Boolformer: Symbolic Regression of Logic Functions with Transformers](https://www.semanticscholar.org/paper/ca6fb9d804aa339c0ba686545ddb78d4c5e45e02) | 2023-09-21 | 1 | {'name': 'ArXiv', 'volume': 'abs/2309.12207'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [GPSINDy: Data-Driven Discovery of Equations of Motion](https://www.semanticscholar.org/paper/7aa4950045a9a790857d169f999a479da147a3f3) | 2023-09-20 | 0 | {'name': 'ArXiv', 'volume': 'abs/2309.11076'} | {'id': '1901e811-ee72-4b20-8f7e-de08cd395a10', 'name': 'arXiv.org', 'alternate\_names': ['ArXiv'], 'issn': '2331-8422', 'url': 'https://arxiv.org'} |
-| [Symbolic regression via neural networks.](https://www.semanticscholar.org/paper/eddffa1f2cf18c7ca4edbdaf01fd805f415aa4b8) | 2023-08-01 | 2 | {'name': 'Chaos', 'volume': '33 8'} | {'id': '30c0ded7-c8b4-473c-bbc0-f237234ac1a6', 'name': 'Chaos', 'type': 'journal', 'issn': '1054-1500', 'url': 'http://chaos.aip.org/', 'alternate\_urls': ['https://aip.scitation.org/journal/cha']} |
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Table of Contents
+ 1. Search Query
+ 2. Symbolic regression articles and citations over time
+ 3. Most cited articles on Symbolic regression
+ 4. Latest articles on Symbolic regression
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1. Search query
+ ((symbolic regression) + dynamics)
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2. Symbolic regression articles and citations over time
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diff --git a/docs/assets/Physics-informed_GNNs.png b/docs/assets/Physics-informed_GNNs.png
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diff --git a/mkdocs.yml b/mkdocs.yml
index b56a5380..0a737dce 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -28,21 +28,22 @@ theme:
name: Switch to light mode
primary: red
accent: lime
-extra_css:
- - custom.css
+# extra_css:
+# - custom.css
+# use_directory_urls: false
repo_url: https://github.com/VirtualPatientEngine/literatureSurvey
repo_name: LiteratureSurvey
nav:
- - Home: All.md
- - Neural ODEs: Neural_ODEs.md
- - Physics-informed GNNs: Physics-informed_GNNs.md
- - Symbolic regression: Symbolic_regression.md
- - PINNs: PINNs.md
- - Latent Space Simulator: Latent_Space_Simulator.md
- - Koopman Theory: Koopman_Theory.md
- - API Reference:
- - Arxiv: literatureFetch.md
- - Tests: test_literatureFetch.md
+ # - Home: All.md
+ # - Neural ODEs: Neural_ODEs.md
+ # - Physics-informed GNNs: Physics-informed_GNNs.md
+ # - Symbolic regression: Symbolic_regression.md
+ # - PINNs: PINNs.md
+ # - Latent Space Simulator: Latent_Space_Simulator.md
+ # - Koopman Theory: Koopman_Theory.md
+ # - API Reference:
+ # - Arxiv: literatureFetch.md
+ # - Tests: test_literatureFetch.md
\ No newline at end of file
diff --git a/overrides/main.html b/overrides/main.html
index fcce5633..3bd0e9c1 100644
--- a/overrides/main.html
+++ b/overrides/main.html
@@ -15,6 +15,8 @@
+
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@@ -23,7 +25,15 @@
{% block scripts %}
{{ super() }}
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{% endblock %}