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S2 ID of an article had changed (#20)
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* wrt #1

* Update manually_curated_articles.tsv

add extra categories to curated list

* add --cache clear for pytests

* add new test file

* WRT feat #7; add batch processing of S2 articles

* close #7 #9

* close #7 #9; add tests

* fix: s2 id of a manually curated article

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Co-authored-by: lilijap <43205236+lilijap@users.noreply.github.com>
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gurdeep330 and lilijap authored Mar 25, 2024
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3 changes: 3 additions & 0 deletions .gitignore
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Expand Up @@ -155,6 +155,9 @@ cython_debug/
# .md files in the docs foldr of mkdocs
docs/*.md

# mkdocs.yml file
mkdocs.yml

# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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2 changes: 1 addition & 1 deletion app/data/manually_curated_articles.tsv
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Expand Up @@ -20,7 +20,7 @@ Physics-based GNNs COPHY: Counterfactual Learning of Physical Dynamics 202888633
Physics-based GNNs Discovering Symbolic Models from Deep Learning with Inductive Biases (2020) 219966125 https://www.semanticscholar.org/paper/Discovering-Symbolic-Models-from-Deep-Learning-with-Cranmer-Sanchez-Gonzalez/643ac3ef063c77eb02a3d52637c11fe028bfae28?utm_source=direct_link
Physics-based GNNs Learning to Simulate Complex Physics with Graph Networks (2020) 211252550 https://www.semanticscholar.org/paper/Learning-to-Simulate-Complex-Physics-with-Graph-Sanchez-Gonzalez-Godwin/c529f5b08675f787cdcc094ee495239592339f82?utm_source=direct_link
Physics-based GNNs Rediscovering Newton's gravity and Solar System properties using deep learning and inductive biases (2021) NA
Physics-based GNNs Rediscovering orbital mechanics with machine learning 246607780 https://www.semanticscholar.org/paper/Rediscovering-orbital-mechanics-with-machine-Lemos-Jeffrey/0d774d92c9c03648a213e5dc416065b0b72d894e?utm_source=direct_link
Physics-based GNNs Rediscovering orbital mechanics with machine learning 246607780 https://www.semanticscholar.org/paper/Rediscovering-orbital-mechanics-with-machine-Lemos-Jeffrey/2232751169e57a14723bfffb4ab26aa0e0e3839a?utm_source=direct_link
Latent space simulators (VAMP) Molecular latent space simulators (2020) 220302172 https://www.semanticscholar.org/paper/Molecular-latent-space-simulators-Sidky-Chen/2d3000d245988a02d3c1060211e9d89c67147b49?utm_source=direct_link
Latent space simulators (VAMP) Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator (2017) 41957686 https://www.semanticscholar.org/paper/Extended-dynamic-mode-decomposition-with-dictionary-Li-Dietrich/80744010d90c8ede052c7ac6ba8c38c9de959c6e?utm_source=direct_link
Latent space simulators (VAMP) Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics (2018) ÿ4580122 https://www.semanticscholar.org/paper/Time-lagged-autoencoders%3A-Deep-learning-of-slow-for-Wehmeyer-No%C3%A9/d8d8e2c04ca47bd628bd2a499e03ad7cd29633da?utm_source=direct_link
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