From f07f33d29a7b506fee85dcf2f0d1500fcc8ab863 Mon Sep 17 00:00:00 2001
From: GitHub Action
Date: Mon, 18 Mar 2024 06:04:31 +0000
Subject: [PATCH] update data
---
docs/Koopman_Theory.md | 90 +++++++++++------------
docs/Latent_Space_Simulator.md | 82 ++++++++++-----------
docs/Neural_ODEs.md | 86 +++++++++++-----------
docs/PINNs.md | 58 +++++++--------
docs/Physics-informed_GNNs.md | 94 ++++++++++++-------------
docs/Symbolic_regression.md | 12 ++--
docs/index.md | 78 ++++++++++----------
site/Koopman_Theory/index.html | 90 +++++++++++------------
site/Latent_Space_Simulator/index.html | 82 ++++++++++-----------
site/Neural_ODEs/index.html | 86 +++++++++++-----------
site/PINNs/index.html | 58 +++++++--------
site/Physics-informed_GNNs/index.html | 94 ++++++++++++-------------
site/Symbolic_regression/index.html | 12 ++--
site/index.html | 78 ++++++++++----------
site/search/search_index.json | 2 +-
site/sitemap.xml.gz | Bin 127 -> 127 bytes
16 files changed, 501 insertions(+), 501 deletions(-)
diff --git a/docs/Koopman_Theory.md b/docs/Koopman_Theory.md
index 5bf7c3fd..eac8dbd1 100644
--- a/docs/Koopman_Theory.md
+++ b/docs/Koopman_Theory.md
@@ -10,7 +10,7 @@ hide:
- This page was last updated on 2024-03-10 13:33:35 CET/CEST
+ This page was last updated on 2024-03-18 06:04:25 CET/CEST
@@ -49,79 +49,79 @@ hide:
Hamiltonian Systems and Transformation in Hilbert Space. |
B. O. Koopman |
1931-05-01 |
Proceedings of the National Academy of Sciences of the United States of America |
- 1562 |
+ 1572 |
A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition |
Matthew O. Williams, I. Kevrekidis, C. Rowley |
2014-08-19 |
Journal of Nonlinear Science |
- 1328 |
+ 1331 |
Deep learning for universal linear embeddings of nonlinear dynamics |
Bethany Lusch, J. Kutz, S. Brunton |
2017-12-27 |
Nature Communications |
- 901 |
+ 909 |
Entanglement renormalization. |
G. Vidal |
2005-12-08 |
Physical review letters |
- 785 |
+ 786 |
Applied Koopmanism. |
M. Budišić, Ryan Mohr, I. Mezić |
2012-06-14 |
Chaos |
- 696 |
+ 697 |
CT Imaging of the 2019 Novel Coronavirus (2019-nCoV) Pneumonia |
J. Lei, Junfeng Li, Xun Li, X. Qi |
2020-01-31 |
Radiology |
- 658 |
+ 659 |
Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses |
Kevin K. Chen, Jonathan H. Tu, C. Rowley |
2012-04-27 |
Journal of Nonlinear Science |
- 643 |
+ 646 |
@@ -143,58 +143,58 @@ hide:
- A Data-Driven Koopman Approach for Power System Nonlinear Dynamic Observability Analysis |
- Yijun Xu, Qinling Wang, L. Mili, Zongsheng Zheng, W. Gu, Shuai Lu, Zhi Wu |
- 2024-03-01 |
- IEEE Transactions on Power Systems |
+ Deep bilinear Koopman realization for dynamics modeling and predictive control |
+ Meixi Wang, Xuyang Lou, B. Cui |
+ 2024-03-15 |
+ International Journal of Machine Learning and Cybernetics |
0 |
- A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables |
- Itta Nozawa, Emily Kamienski, Cormac O’Neill, H. H. Asada |
- 2024-03-01 |
- IEEE Robotics and Automation Letters |
+ The Infopolitics of feeling: How race and disability are configured in Emotion Recognition Technology |
+ Kerry McInerney, Os Keyes |
+ 2024-03-14 |
+ New Media & Society |
0 |
- Robust Learning and Control of Time-Delay Nonlinear Systems With Deep Recurrent Koopman Operators |
- Minghao Han, Zhaojian Li, Xiang Yin, Xunyuan Yin |
- 2024-03-01 |
- IEEE Transactions on Industrial Informatics |
- 1 |
+ Beyond trade statistics: how much do exports actually contribute to domestic value added? |
+ Maria Llop |
+ 2024-03-13 |
+ Humanities and Social Sciences Communications |
+ 0 |
- Improving potential energy surfaces using measured Feshbach resonance states |
- Karl P. Horn, Luis Itza Vazquez-Salazar, Christiane P. Koch, Markus Meuwly |
- 2024-03-01 |
- Science Advances |
+ Determination of dynamic characteristics of lattice structure using dynamic mode decomposition |
+ Nary Savoeurn, Chettapong Janya-anurak, V. Uthaisangsuk |
+ 2024-03-13 |
+ Journal of Applied Mechanics |
0 |
- Robust Three-Stage Dynamic Mode Decomposition for Analysis of Power System Oscillations |
- R. D. Rodriguez-Soto, E. Barocio, F. Gonzalez-Longatt, F. R. Segundo Sevilla, P. Korba |
- 2024-03-01 |
- IEEE Transactions on Power Systems |
+ Model-Based Linear Control of Nonlinear Pneumatic Soft Bending Actuators |
+ Jiajin Wang, Baoguo Xu, Jian-yang Lai, Xin Wang, Ye Lu, Cong Hu, Huijun Li, Aiguo Song |
+ 2024-03-07 |
+ Smart Materials and Structures |
0 |
- Data-Driven Transient Stability Evaluation of Electric Distribution Networks Dominated by EV Supercharging Stations |
- Jimiao Zhang, Jie Li |
+ A Data-Driven Koopman Approach for Power System Nonlinear Dynamic Observability Analysis |
+ Yijun Xu, Qinling Wang, L. Mili, Zongsheng Zheng, W. Gu, Shuai Lu, Zhi Wu |
2024-03-01 |
- IEEE Transactions on Smart Grid |
+ IEEE Transactions on Power Systems |
0 |
- Approximation of discrete and orbital Koopman operators over subsets and manifolds |
- Andrew J. Kurdila, S. Paruchuri, Nathan Powell, Jia Guo, Parag Bobade, Boone Estes, Haoran Wang |
- 2024-02-22 |
- Nonlinear Dynamics |
+ A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables |
+ Itta Nozawa, Emily Kamienski, Cormac O’Neill, H. H. Asada |
+ 2024-03-01 |
+ IEEE Robotics and Automation Letters |
0 |
@@ -207,14 +207,14 @@ hide:
Denoising Diffusion Implicit Models |
Jiaming Song, Chenlin Meng, Stefano Ermon |
2020-10-06 |
ArXiv |
- 2555 |
+ 2628 |
GTM: The Generative Topographic Mapping |
Charles M. Bishop, M. Svensén, Christopher K. I. Williams |
None |
Neural Computation |
- 1498 |
+ 1500 |
A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition |
Matthew O. Williams, I. Kevrekidis, C. Rowley |
2014-08-19 |
Journal of Nonlinear Science |
- 1328 |
+ 1331 |
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection |
Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, C. Lumezanu, Dae-ki Cho, Haifeng Chen |
2018-02-15 |
|
- 1245 |
+ 1249 |
@@ -104,13 +104,13 @@ hide:
Poincaré Embeddings for Learning Hierarchical Representations |
Maximilian Nickel, Douwe Kiela |
2017-05-22 |
ArXiv |
- 1035 |
+ 1038 |
@@ -143,58 +143,58 @@ hide:
- Access authentication via blockchain in space information network |
- Muhammad Arshad, Jianwei Liu, Muhammad Khalid, Waqar Khalid, Yue Cao, Fakhri Alam Khan |
- 2024-03-07 |
- PLOS ONE |
+ Free Cognitive Capacity Assessed by the P300 Method During Manual Docking Training in Space. |
+ Juri A. Bubeev, Bernd Johannes, Tatyana I Kotrovska, Darya Schastlivtseva, S. Bronnikov, Hans-Juergen Hoermann, A. W. Gaillard |
+ 2024-04-01 |
+ Aerospace medicine and human performance |
0 |
- Small molecule autoencoders: architecture engineering to optimize latent space utility and sustainability |
- Marie Oestreich, Iva Ewert, Matthias Becker |
- 2024-03-05 |
- Journal of Cheminformatics |
+ Towards Efficient Coordination in Multi-Agent Reinforcement Learning through Hybrid Information-Driven Approaches |
+ Priyanka S Chauhan |
+ 2024-03-31 |
+ International Journal for Research in Applied Science and Engineering Technology |
0 |
- A GAN-based anomaly detector using multi-feature fusion and selection. |
- Huafeng Dai, Jyunrong Wang, Quan Zhong, Tao Chen, Hao Liu, Xuegang Zhang, Rongsheng Lu |
- 2024-03-04 |
- Scientific reports |
+ INSIDER: Interpretable sparse matrix decomposition for RNA expression data analysis. |
+ Kai Zhao, Sen Huang, Cuichan Lin, P. Sham, Hon-Cheong So, Zhixiang Lin |
+ 2024-03-14 |
+ PLoS genetics |
0 |
- Topic Modeling on Document Networks With Dirichlet Optimal Transport Barycenter |
- Delvin Ce Zhang, Hady W. Lauw |
- 2024-03-01 |
- IEEE Transactions on Knowledge and Data Engineering |
+ MagGen: A Graph-Aided Deep Generative Model for Inverse Design of Permanent Magnets. |
+ Sourav Mal, Gaurav Seal, Prasenjit Sen |
+ 2024-03-14 |
+ The journal of physical chemistry letters |
0 |
- Multiclass and Multilabel Classifications by Consensus and Complementarity-Based Multiview Latent Space Projection |
- Jianghong Ma, Weixuan Kou, Mingquan Lin, Carmen C. M. Cho, Bernard Chiu |
- 2024-03-01 |
- IEEE Transactions on Systems, Man, and Cybernetics: Systems |
+ Enhancing the Coupling of Real-Virtual Prototypes: A Method for Latency Compensation |
+ Peter Baumann, Oliver Kotte, Lars Mikelsons, Dieter Schramm |
+ 2024-03-14 |
+ Electronics |
0 |
- Learning-Based Edge-Device Collaborative DNN Inference in IoVT Networks |
- Xiaodong Xu, Kaiwen Yan, Shujun Han, Bizhu Wang, Xiaofeng Tao, Ping Zhang |
- 2024-03-01 |
- IEEE Internet of Things Journal |
+ Routing networking technology based on improved ant colony algorithm in space-air-ground integrated network |
+ Wuzhou Nie, Yong Chen, Yuhao Wang, Peizheng Wang, Meng Li, Lei Ning |
+ 2024-03-13 |
+ EURASIP Journal on Advances in Signal Processing |
0 |
- NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields |
- Valentina Muşat, Daniele De Martini, Matthew Gadd, Paul Newman |
- 2024-03-01 |
- IEEE Robotics and Automation Letters |
+ Determination of dynamic characteristics of lattice structure using dynamic mode decomposition |
+ Nary Savoeurn, Chettapong Janya-anurak, V. Uthaisangsuk |
+ 2024-03-13 |
+ Journal of Applied Mechanics |
0 |
@@ -207,14 +207,14 @@ hide:
Neural Ordinary Differential Equations |
T. Chen, Yulia Rubanova, J. Bettencourt, D. Duvenaud |
2018-06-19 |
Neural Information Processing Systems |
- 3532 |
+ 3545 |
Score-Based Generative Modeling through Stochastic Differential Equations |
Yang Song, Jascha Narain Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole |
2020-11-26 |
ArXiv |
- 2634 |
+ 2676 |
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting |
Yaguang Li, Rose Yu, C. Shahabi, Yan Liu |
2017-07-06 |
arXiv: Learning |
- 2134 |
+ 2141 |
Artificial neural networks for solving ordinary and partial differential equations |
I. Lagaris, A. Likas, D. Fotiadis |
1997-05-19 |
IEEE transactions on neural networks |
- 1723 |
+ 1729 |
Diffusion-Convolutional Neural Networks |
James Atwood, D. Towsley |
2015-11-06 |
Neural Information Processing Systems |
- 1089 |
+ 1090 |
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs |
M. Simonovsky, N. Komodakis |
2017-04-10 |
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
- 1074 |
+ 1075 |
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models |
Will Grathwohl, Ricky T. Q. Chen, J. Bettencourt, I. Sutskever, D. Duvenaud |
2018-09-27 |
ArXiv |
- 689 |
+ 692 |
@@ -142,6 +142,22 @@ hide:
+
+ Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks |
+ Parikshit Sharma, B. K. Sharma, N.K. Mishra, Bandar Almohsen, M. Bhatti |
+ 2024-03-13 |
+ ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik |
+ 0 |
+
+
+
+ HiDeS: a higher-order-derivative-supervised neural ordinary differential equation for multi-robot systems and opinion dynamics |
+ Meng Li, Wenyu Bian, Liangxiong Chen, Mei Liu |
+ 2024-03-12 |
+ Frontiers in Neurorobotics |
+ 0 |
+
+
Continuous Image Outpainting with Neural ODE |
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang |
@@ -150,6 +166,14 @@ hide:
0 |
+
+ Probabilistic locked mode predictor in the presence of a resistive wall and finite island saturation in tokamaks |
+ C. Akçay, John M. Finn, Dylan P. Brennan, K. E. J. Olofsson, A. J. Cole |
+ 2024-03-01 |
+ Physics of Plasmas |
+ 0 |
+
+
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach |
Sarina Thomas, Cristiana Tiago, Børge Solli Andreassen, S. Aase, Jurica Šprem, Erik Normann Steen, Anne H. Schistad Solberg, Guy Ben-Yosef |
@@ -174,30 +198,6 @@ hide:
0 |
-
- Zhang neural networks: an introduction to predictive computations for discretized time-varying matrix problems |
- Frank Uhlig |
- 2024-02-19 |
- Numerische Mathematik |
- 0 |
-
-
-
- Emulating the interstellar medium chemistry with neural operators |
- Lorenzo Branca, Andrea Pallottini |
- 2024-02-19 |
- Astronomy & Astrophysics |
- 0 |
-
-
-
- Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation |
- Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian McAuley, Guandong Xu, Shui Yu |
- 2024-02-18 |
- ArXiv |
- 0 |
-
-
@@ -206,15 +206,15 @@ hide:
Physics-informed learning of governing equations from scarce data |
Zhao Chen, Yang Liu, Hao Sun |
2020-05-05 |
Nature Communications |
- 177 |
+ 179 |
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks |
Dongkun Zhang, Ling Guo, G. Karniadakis |
2019-05-03 |
ArXiv |
- 160 |
+ 162 |
Efficient training of physics‐informed neural networks via importance sampling |
M. A. Nabian, R. J. Gladstone, H. Meidani |
2021-04-26 |
Computer‐Aided Civil and Infrastructure Engineering |
- 113 |
+ 115 |
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers? |
S. Markidis |
2021-03-12 |
Frontiers in Big Data |
- 109 |
+ 110 |
ClimaX: A foundation model for weather and climate |
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover |
2023-01-24 |
International Conference on Machine Learning |
- 88 |
+ 89 |
@@ -142,6 +142,22 @@ hide:
+
+ Advancing material property prediction: using physics-informed machine learning models for viscosity |
+ Alex K. Chew, Matthew Sender, Zachary Kaplan, Anand Chandrasekaran, Jackson Chief Elk, A. Browning, H. Kwak, M. Halls, Mohammad Atif Faiz Afzal, Mohammad Atif, Faiz Afzal |
+ 2024-03-14 |
+ Journal of Cheminformatics |
+ 1 |
+
+
+
+ A physics-informed deep learning liquid crystal camera with data-driven diffractive guidance |
+ Jiashuo Shi, Taige Liu, Liang Zhou, Pei Yan, Zhe Wang, Xinyu Zhang |
+ 2024-03-13 |
+ Communications Engineering |
+ 0 |
+
+
New insights into experimental stratified flows obtained through physics-informed neural networks |
Lu Zhu, Xianyang Jiang, A. Lefauve, R. Kerswell, P. Linden |
@@ -182,22 +198,6 @@ hide:
0 |
-
- Adaptive Deep Fourier Residual method via overlapping domain decomposition |
- Jamie M. Taylor, Manuela Bastidas, V. Calo, David Pardo |
- 2024-01-09 |
- ArXiv |
- 0 |
-
-
-
- Computing the Gerber-Shiu function with interest and a constant dividend barrier by physics-informed neural networks |
- Zan Yu, Lianzeng Zhang |
- 2024-01-09 |
- ArXiv |
- 0 |
-
-
@@ -207,14 +207,14 @@ hide:
Gradient-based learning applied to document recognition |
Yann LeCun, L. Bottou, Yoshua Bengio, P. Haffner |
None |
Proc. IEEE |
- 46107 |
+ 46228 |
Collective dynamics of ‘small-world’ networks |
D. Watts, S. Strogatz |
1998-06-04 |
Nature |
- 38536 |
+ 38560 |
Semi-Supervised Classification with Graph Convolutional Networks |
Thomas Kipf, M. Welling |
2016-09-09 |
ArXiv |
- 22197 |
+ 22282 |
Statistical mechanics of complex networks |
R. Albert, A. Barabási |
2001-06-06 |
ArXiv |
- 18835 |
+ 18843 |
- The Structure and Function of Complex Networks |
- M. Newman |
- 2003-03-25 |
- SIAM Rev. |
- 16802 |
+ TensorFlow: A system for large-scale machine learning |
+ Martín Abadi, P. Barham, Jianmin Chen, Z. Chen, Andy Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, Sherry Moore, D. Murray, Benoit Steiner, P. Tucker, Vijay Vasudevan, P. Warden, M. Wicke, Yuan Yu, Xiaoqiang Zhang |
+ 2016-05-27 |
+ USENIX Symposium on Operating Systems Design and Implementation |
+ 16806 |
- TensorFlow: A system for large-scale machine learning |
- Martín Abadi, P. Barham, Jianmin Chen, Z. Chen, Andy Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, Sherry Moore, D. Murray, Benoit Steiner, P. Tucker, Vijay Vasudevan, P. Warden, M. Wicke, Yuan Yu, Xiaoqiang Zhang |
- 2016-05-27 |
- USENIX Symposium on Operating Systems Design and Implementation |
- 16788 |
+ The Structure and Function of Complex Networks |
+ M. Newman |
+ 2003-03-25 |
+ SIAM Rev. |
+ 16797 |
Community structure in social and biological networks |
M. Girvan, M. Newman |
2001-12-07 |
Proceedings of the National Academy of Sciences of the United States of America |
- 14283 |
+ 14293 |
@@ -142,6 +142,14 @@ hide:
+
+ A graph-based neural network approach to integrate multi-source data for urban building function classification |
+ Bo Kong, Tinghua Ai, Xinyan Zou, Xiongfeng Yan, Min Yang |
+ 2024-06-01 |
+ Computers, Environment and Urban Systems |
+ 0 |
+
+
Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation |
Dongwei Xu, Hang Peng, Yufu Tang, Haifeng Guo |
@@ -151,53 +159,45 @@ hide:
- Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation |
- Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai |
+ Graph Convolutional Networks based short-term load forecasting: Leveraging spatial information for improved accuracy |
+ Haris Mansoor, M. S. Gull, Huzaifa Rauf, I. Shaikh, Muhammad Khalid, Naveed Arshad |
2024-05-01 |
- Control Engineering Practice |
+ Electric Power Systems Research |
0 |
- MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning |
- Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, Xinheng Wang |
+ Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation |
+ Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai |
2024-05-01 |
- Inf. Fusion |
+ Control Engineering Practice |
0 |
- DawnGNN: Documentation augmented windows malware detection using graph neural network |
- Pengbin Feng, Le Gai, Li Yang, Qin Wang, Teng Li, Ning Xi, Jianfeng Ma |
+ Node classification oriented Adaptive Multichannel Heterogeneous Graph Neural Network |
+ Yuqi Li, Chuanfeng Jian, Guosheng Zang, Chunyao Song, Xiaojie Yuan |
2024-05-01 |
- Computers & Security |
+ Knowledge-Based Systems |
0 |
- Multi-level Graph Memory Network Cluster Convolutional Recurrent Network for traffic forecasting |
- Le Sun, Wenzhang Dai, Muhammad Ghulam |
+ MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning |
+ Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, Xinheng Wang |
2024-05-01 |
Inf. Fusion |
0 |
- FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records |
- Yan Wang, Ruochi Zhang, Qian Yang, Qiong Zhou, Shengde Zhang, Yusi Fan, Lan Huang, Kewei Li, Fengfeng Zhou |
+ A motion-aware and temporal-enhanced Spatial–Temporal Graph Convolutional Network for skeleton-based human action segmentation |
+ Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, Shiyu Teng, T. Tateyama, Yinhao Li, Yen-wei Chen |
2024-05-01 |
- Information Processing & Management |
+ Neurocomputing |
0 |
-
- Multi-criteria group decision making based on graph neural networks in Pythagorean fuzzy environment |
- Zhenhua Meng, Rongheng Lin, Budan Wu |
- 2024-05-01 |
- Expert Systems with Applications |
- 1 |
-
-
@@ -207,14 +207,14 @@ hide:
On Neural Differential Equations |
Patrick Kidger |
2022-02-04 |
ArXiv |
- 128 |
+ 130 |
@@ -93,13 +93,13 @@ hide:
Take Their Word for It: The Symbolic Role of Linguistic Style Matches in User Communities |
S. Ludwig, K. Ruyter, D. Mahr, Martin Wetzels, E. Brüggen, Tom de Ruyck |
2014-12-01 |
MIS Q. |
- 69 |
+ 70 |
@@ -214,7 +214,7 @@ hide:
var trace2 = {
x: ['1983', '1996', '1999', '2001', '2002', '2005', '2006', '2008', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024'],
- y: [7, 10, 6, 283, 111, 14, 11, 0, 58, 62, 63, 150, 25, 171, 160, 42, 10, 17, 68, 214, 14, 0],
+ y: [7, 10, 6, 283, 111, 14, 11, 0, 58, 62, 63, 151, 25, 171, 160, 42, 10, 17, 68, 216, 14, 0],
name: 'Num of citations',
yaxis: 'y2',
type: 'scatter'
diff --git a/docs/index.md b/docs/index.md
index fee43003..87f22a03 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -10,7 +10,7 @@ hide:
- This page was last updated on 2024-03-10 13:33:38 CET/CEST
+ This page was last updated on 2024-03-18 06:04:27 CET/CEST
@@ -60,7 +60,7 @@ hide:
Yann LeCun, L. Bottou, Yoshua Bengio, P. Haffner |
|
Proc. IEEE |
- 46107 |
+ 46228 |
@@ -68,7 +68,7 @@ hide:
D. Watts, S. Strogatz |
|
Nature |
- 38536 |
+ 38560 |
@@ -76,7 +76,7 @@ hide:
Thomas Kipf, M. Welling |
|
ArXiv |
- 22197 |
+ 22282 |
@@ -84,23 +84,23 @@ hide:
R. Albert, A. Barabási |
|
ArXiv |
- 18835 |
+ 18843 |
- The Structure and Function of Complex Networks
|
- M. Newman |
+ TensorFlow: A system for large-scale machine learning
|
+ Martín Abadi, P. Barham, Jianmin Chen, Z. Chen, Andy Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, Sherry Moore, D. Murray, Benoit Steiner, P. Tucker, Vijay Vasudevan, P. Warden, M. Wicke, Yuan Yu, Xiaoqiang Zhang |
|
- SIAM Rev. |
- 16802 |
+ USENIX Symposium on Operating Systems Design and Implementation |
+ 16806 |
- TensorFlow: A system for large-scale machine learning
|
- Martín Abadi, P. Barham, Jianmin Chen, Z. Chen, Andy Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, Sherry Moore, D. Murray, Benoit Steiner, P. Tucker, Vijay Vasudevan, P. Warden, M. Wicke, Yuan Yu, Xiaoqiang Zhang |
+ The Structure and Function of Complex Networks
|
+ M. Newman |
|
- USENIX Symposium on Operating Systems Design and Implementation |
- 16788 |
+ SIAM Rev. |
+ 16797 |
@@ -108,7 +108,7 @@ hide:
M. Girvan, M. Newman |
|
Proceedings of the National Academy of Sciences of the United States of America |
- 14283 |
+ 14293 |
@@ -130,59 +130,59 @@ hide:
- Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation
|
- Dongwei Xu, Hang Peng, Yufu Tang, Haifeng Guo |
+ A graph-based neural network approach to integrate multi-source data for urban building function classification
|
+ Bo Kong, Tinghua Ai, Xinyan Zou, Xiongfeng Yan, Min Yang |
|
- Information Fusion |
+ Computers, Environment and Urban Systems |
0 |
- Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation
|
- Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai |
+ Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation
|
+ Dongwei Xu, Hang Peng, Yufu Tang, Haifeng Guo |
|
- Control Engineering Practice |
+ Information Fusion |
0 |
- MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning
|
- Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, Xinheng Wang |
+ Graph Convolutional Networks based short-term load forecasting: Leveraging spatial information for improved accuracy
|
+ Haris Mansoor, M. S. Gull, Huzaifa Rauf, I. Shaikh, Muhammad Khalid, Naveed Arshad |
|
- Inf. Fusion |
+ Electric Power Systems Research |
0 |
- DawnGNN: Documentation augmented windows malware detection using graph neural network
|
- Pengbin Feng, Le Gai, Li Yang, Qin Wang, Teng Li, Ning Xi, Jianfeng Ma |
+ Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation
|
+ Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai |
|
- Computers & Security |
+ Control Engineering Practice |
0 |
- Multi-level Graph Memory Network Cluster Convolutional Recurrent Network for traffic forecasting
|
- Le Sun, Wenzhang Dai, Muhammad Ghulam |
+ Node classification oriented Adaptive Multichannel Heterogeneous Graph Neural Network
|
+ Yuqi Li, Chuanfeng Jian, Guosheng Zang, Chunyao Song, Xiaojie Yuan |
|
- Inf. Fusion |
+ Knowledge-Based Systems |
0 |
- FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records
|
- Yan Wang, Ruochi Zhang, Qian Yang, Qiong Zhou, Shengde Zhang, Yusi Fan, Lan Huang, Kewei Li, Fengfeng Zhou |
+ MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning
|
+ Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, Xinheng Wang |
|
- Information Processing & Management |
+ Inf. Fusion |
0 |
- Multi-criteria group decision making based on graph neural networks in Pythagorean fuzzy environment
|
- Zhenhua Meng, Rongheng Lin, Budan Wu |
+ A motion-aware and temporal-enhanced Spatial–Temporal Graph Convolutional Network for skeleton-based human action segmentation
|
+ Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, Shiyu Teng, T. Tateyama, Yinhao Li, Yen-wei Chen |
|
- Expert Systems with Applications |
- 1 |
+ Neurocomputing |
+ 0 |
@@ -202,14 +202,14 @@ hide:
Hamiltonian Systems and Transformation in Hilbert Space. |
B. O. Koopman |
1931-05-01 |
Proceedings of the National Academy of Sciences of the United States of America |
- 1562 |
+ 1572 |
A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition |
Matthew O. Williams, I. Kevrekidis, C. Rowley |
2014-08-19 |
Journal of Nonlinear Science |
- 1328 |
+ 1331 |
Deep learning for universal linear embeddings of nonlinear dynamics |
Bethany Lusch, J. Kutz, S. Brunton |
2017-12-27 |
Nature Communications |
- 901 |
+ 909 |
Entanglement renormalization. |
G. Vidal |
2005-12-08 |
Physical review letters |
- 785 |
+ 786 |
Applied Koopmanism. |
M. Budišić, Ryan Mohr, I. Mezić |
2012-06-14 |
Chaos |
- 696 |
+ 697 |
CT Imaging of the 2019 Novel Coronavirus (2019-nCoV) Pneumonia |
J. Lei, Junfeng Li, Xun Li, X. Qi |
2020-01-31 |
Radiology |
- 658 |
+ 659 |
Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses |
Kevin K. Chen, Jonathan H. Tu, C. Rowley |
2012-04-27 |
Journal of Nonlinear Science |
- 643 |
+ 646 |
@@ -723,58 +723,58 @@ 4. Latest articles on Koopman Theory
- A Data-Driven Koopman Approach for Power System Nonlinear Dynamic Observability Analysis |
- Yijun Xu, Qinling Wang, L. Mili, Zongsheng Zheng, W. Gu, Shuai Lu, Zhi Wu |
- 2024-03-01 |
- IEEE Transactions on Power Systems |
+ Deep bilinear Koopman realization for dynamics modeling and predictive control |
+ Meixi Wang, Xuyang Lou, B. Cui |
+ 2024-03-15 |
+ International Journal of Machine Learning and Cybernetics |
0 |
- A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables |
- Itta Nozawa, Emily Kamienski, Cormac O’Neill, H. H. Asada |
- 2024-03-01 |
- IEEE Robotics and Automation Letters |
+ The Infopolitics of feeling: How race and disability are configured in Emotion Recognition Technology |
+ Kerry McInerney, Os Keyes |
+ 2024-03-14 |
+ New Media & Society |
0 |
- Robust Learning and Control of Time-Delay Nonlinear Systems With Deep Recurrent Koopman Operators |
- Minghao Han, Zhaojian Li, Xiang Yin, Xunyuan Yin |
- 2024-03-01 |
- IEEE Transactions on Industrial Informatics |
- 1 |
+ Beyond trade statistics: how much do exports actually contribute to domestic value added? |
+ Maria Llop |
+ 2024-03-13 |
+ Humanities and Social Sciences Communications |
+ 0 |
- Improving potential energy surfaces using measured Feshbach resonance states |
- Karl P. Horn, Luis Itza Vazquez-Salazar, Christiane P. Koch, Markus Meuwly |
- 2024-03-01 |
- Science Advances |
+ Determination of dynamic characteristics of lattice structure using dynamic mode decomposition |
+ Nary Savoeurn, Chettapong Janya-anurak, V. Uthaisangsuk |
+ 2024-03-13 |
+ Journal of Applied Mechanics |
0 |
- Robust Three-Stage Dynamic Mode Decomposition for Analysis of Power System Oscillations |
- R. D. Rodriguez-Soto, E. Barocio, F. Gonzalez-Longatt, F. R. Segundo Sevilla, P. Korba |
- 2024-03-01 |
- IEEE Transactions on Power Systems |
+ Model-Based Linear Control of Nonlinear Pneumatic Soft Bending Actuators |
+ Jiajin Wang, Baoguo Xu, Jian-yang Lai, Xin Wang, Ye Lu, Cong Hu, Huijun Li, Aiguo Song |
+ 2024-03-07 |
+ Smart Materials and Structures |
0 |
- Data-Driven Transient Stability Evaluation of Electric Distribution Networks Dominated by EV Supercharging Stations |
- Jimiao Zhang, Jie Li |
+ A Data-Driven Koopman Approach for Power System Nonlinear Dynamic Observability Analysis |
+ Yijun Xu, Qinling Wang, L. Mili, Zongsheng Zheng, W. Gu, Shuai Lu, Zhi Wu |
2024-03-01 |
- IEEE Transactions on Smart Grid |
+ IEEE Transactions on Power Systems |
0 |
- Approximation of discrete and orbital Koopman operators over subsets and manifolds |
- Andrew J. Kurdila, S. Paruchuri, Nathan Powell, Jia Guo, Parag Bobade, Boone Estes, Haoran Wang |
- 2024-02-22 |
- Nonlinear Dynamics |
+ A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables |
+ Itta Nozawa, Emily Kamienski, Cormac O’Neill, H. H. Asada |
+ 2024-03-01 |
+ IEEE Robotics and Automation Letters |
0 |
@@ -787,14 +787,14 @@ 4. Latest articles on Koopman Theory
Denoising Diffusion Implicit Models |
Jiaming Song, Chenlin Meng, Stefano Ermon |
2020-10-06 |
ArXiv |
- 2555 |
+ 2628 |
GTM: The Generative Topographic Mapping |
Charles M. Bishop, M. Svensén, Christopher K. I. Williams |
None |
Neural Computation |
- 1498 |
+ 1500 |
A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition |
Matthew O. Williams, I. Kevrekidis, C. Rowley |
2014-08-19 |
Journal of Nonlinear Science |
- 1328 |
+ 1331 |
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection |
Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, C. Lumezanu, Dae-ki Cho, Haifeng Chen |
2018-02-15 |
|
- 1245 |
+ 1249 |
@@ -684,13 +684,13 @@
@@ -723,58 +723,58 @@ 4. Latest articles on Latent Space Simulator
- Access authentication via blockchain in space information network |
- Muhammad Arshad, Jianwei Liu, Muhammad Khalid, Waqar Khalid, Yue Cao, Fakhri Alam Khan |
- 2024-03-07 |
- PLOS ONE |
+ Free Cognitive Capacity Assessed by the P300 Method During Manual Docking Training in Space. |
+ Juri A. Bubeev, Bernd Johannes, Tatyana I Kotrovska, Darya Schastlivtseva, S. Bronnikov, Hans-Juergen Hoermann, A. W. Gaillard |
+ 2024-04-01 |
+ Aerospace medicine and human performance |
0 |
- Small molecule autoencoders: architecture engineering to optimize latent space utility and sustainability |
- Marie Oestreich, Iva Ewert, Matthias Becker |
- 2024-03-05 |
- Journal of Cheminformatics |
+ Towards Efficient Coordination in Multi-Agent Reinforcement Learning through Hybrid Information-Driven Approaches |
+ Priyanka S Chauhan |
+ 2024-03-31 |
+ International Journal for Research in Applied Science and Engineering Technology |
0 |
- A GAN-based anomaly detector using multi-feature fusion and selection. |
- Huafeng Dai, Jyunrong Wang, Quan Zhong, Tao Chen, Hao Liu, Xuegang Zhang, Rongsheng Lu |
- 2024-03-04 |
- Scientific reports |
+ INSIDER: Interpretable sparse matrix decomposition for RNA expression data analysis. |
+ Kai Zhao, Sen Huang, Cuichan Lin, P. Sham, Hon-Cheong So, Zhixiang Lin |
+ 2024-03-14 |
+ PLoS genetics |
0 |
- Topic Modeling on Document Networks With Dirichlet Optimal Transport Barycenter |
- Delvin Ce Zhang, Hady W. Lauw |
- 2024-03-01 |
- IEEE Transactions on Knowledge and Data Engineering |
+ MagGen: A Graph-Aided Deep Generative Model for Inverse Design of Permanent Magnets. |
+ Sourav Mal, Gaurav Seal, Prasenjit Sen |
+ 2024-03-14 |
+ The journal of physical chemistry letters |
0 |
- Multiclass and Multilabel Classifications by Consensus and Complementarity-Based Multiview Latent Space Projection |
- Jianghong Ma, Weixuan Kou, Mingquan Lin, Carmen C. M. Cho, Bernard Chiu |
- 2024-03-01 |
- IEEE Transactions on Systems, Man, and Cybernetics: Systems |
+ Enhancing the Coupling of Real-Virtual Prototypes: A Method for Latency Compensation |
+ Peter Baumann, Oliver Kotte, Lars Mikelsons, Dieter Schramm |
+ 2024-03-14 |
+ Electronics |
0 |
- Learning-Based Edge-Device Collaborative DNN Inference in IoVT Networks |
- Xiaodong Xu, Kaiwen Yan, Shujun Han, Bizhu Wang, Xiaofeng Tao, Ping Zhang |
- 2024-03-01 |
- IEEE Internet of Things Journal |
+ Routing networking technology based on improved ant colony algorithm in space-air-ground integrated network |
+ Wuzhou Nie, Yong Chen, Yuhao Wang, Peizheng Wang, Meng Li, Lei Ning |
+ 2024-03-13 |
+ EURASIP Journal on Advances in Signal Processing |
0 |
- NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields |
- Valentina Muşat, Daniele De Martini, Matthew Gadd, Paul Newman |
- 2024-03-01 |
- IEEE Robotics and Automation Letters |
+ Determination of dynamic characteristics of lattice structure using dynamic mode decomposition |
+ Nary Savoeurn, Chettapong Janya-anurak, V. Uthaisangsuk |
+ 2024-03-13 |
+ Journal of Applied Mechanics |
0 |
@@ -787,14 +787,14 @@ 4. Latest articles on Latent Space Simulator
Neural Ordinary Differential Equations |
T. Chen, Yulia Rubanova, J. Bettencourt, D. Duvenaud |
2018-06-19 |
Neural Information Processing Systems |
- 3532 |
+ 3545 |
Score-Based Generative Modeling through Stochastic Differential Equations |
Yang Song, Jascha Narain Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole |
2020-11-26 |
ArXiv |
- 2634 |
+ 2676 |
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting |
Yaguang Li, Rose Yu, C. Shahabi, Yan Liu |
2017-07-06 |
arXiv: Learning |
- 2134 |
+ 2141 |
Artificial neural networks for solving ordinary and partial differential equations |
I. Lagaris, A. Likas, D. Fotiadis |
1997-05-19 |
IEEE transactions on neural networks |
- 1723 |
+ 1729 |
Diffusion-Convolutional Neural Networks |
James Atwood, D. Towsley |
2015-11-06 |
Neural Information Processing Systems |
- 1089 |
+ 1090 |
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs |
M. Simonovsky, N. Komodakis |
2017-04-10 |
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
- 1074 |
+ 1075 |
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models |
Will Grathwohl, Ricky T. Q. Chen, J. Bettencourt, I. Sutskever, D. Duvenaud |
2018-09-27 |
ArXiv |
- 689 |
+ 692 |
@@ -720,6 +720,22 @@ 4. Latest articles on Neural ODEs
+
+ Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks |
+ Parikshit Sharma, B. K. Sharma, N.K. Mishra, Bandar Almohsen, M. Bhatti |
+ 2024-03-13 |
+ ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik |
+ 0 |
+
+
+
+ HiDeS: a higher-order-derivative-supervised neural ordinary differential equation for multi-robot systems and opinion dynamics |
+ Meng Li, Wenyu Bian, Liangxiong Chen, Mei Liu |
+ 2024-03-12 |
+ Frontiers in Neurorobotics |
+ 0 |
+
+
Continuous Image Outpainting with Neural ODE |
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang |
@@ -728,6 +744,14 @@ 4. Latest articles on Neural ODEs
0 |
+
+ Probabilistic locked mode predictor in the presence of a resistive wall and finite island saturation in tokamaks |
+ C. Akçay, John M. Finn, Dylan P. Brennan, K. E. J. Olofsson, A. J. Cole |
+ 2024-03-01 |
+ Physics of Plasmas |
+ 0 |
+
+
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach |
Sarina Thomas, Cristiana Tiago, Børge Solli Andreassen, S. Aase, Jurica Šprem, Erik Normann Steen, Anne H. Schistad Solberg, Guy Ben-Yosef |
@@ -752,30 +776,6 @@ 4. Latest articles on Neural ODEs
0 |
-
- Zhang neural networks: an introduction to predictive computations for discretized time-varying matrix problems |
- Frank Uhlig |
- 2024-02-19 |
- Numerische Mathematik |
- 0 |
-
-
-
- Emulating the interstellar medium chemistry with neural operators |
- Lorenzo Branca, Andrea Pallottini |
- 2024-02-19 |
- Astronomy & Astrophysics |
- 0 |
-
-
-
- Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation |
- Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian McAuley, Guandong Xu, Shui Yu |
- 2024-02-18 |
- ArXiv |
- 0 |
-
-
@@ -784,15 +784,15 @@ 4. Latest articles on Neural ODEs
Physics-informed learning of governing equations from scarce data |
Zhao Chen, Yang Liu, Hao Sun |
2020-05-05 |
Nature Communications |
- 177 |
+ 179 |
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks |
Dongkun Zhang, Ling Guo, G. Karniadakis |
2019-05-03 |
ArXiv |
- 160 |
+ 162 |
Efficient training of physics‐informed neural networks via importance sampling |
M. A. Nabian, R. J. Gladstone, H. Meidani |
2021-04-26 |
Computer‐Aided Civil and Infrastructure Engineering |
- 113 |
+ 115 |
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers? |
S. Markidis |
2021-03-12 |
Frontiers in Big Data |
- 109 |
+ 110 |
ClimaX: A foundation model for weather and climate |
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover |
2023-01-24 |
International Conference on Machine Learning |
- 88 |
+ 89 |
@@ -722,6 +722,22 @@ 4. Latest articles on PINNs
+
+ Advancing material property prediction: using physics-informed machine learning models for viscosity |
+ Alex K. Chew, Matthew Sender, Zachary Kaplan, Anand Chandrasekaran, Jackson Chief Elk, A. Browning, H. Kwak, M. Halls, Mohammad Atif Faiz Afzal, Mohammad Atif, Faiz Afzal |
+ 2024-03-14 |
+ Journal of Cheminformatics |
+ 1 |
+
+
+
+ A physics-informed deep learning liquid crystal camera with data-driven diffractive guidance |
+ Jiashuo Shi, Taige Liu, Liang Zhou, Pei Yan, Zhe Wang, Xinyu Zhang |
+ 2024-03-13 |
+ Communications Engineering |
+ 0 |
+
+
New insights into experimental stratified flows obtained through physics-informed neural networks |
Lu Zhu, Xianyang Jiang, A. Lefauve, R. Kerswell, P. Linden |
@@ -762,22 +778,6 @@ 4. Latest articles on PINNs
0 |
-
- Adaptive Deep Fourier Residual method via overlapping domain decomposition |
- Jamie M. Taylor, Manuela Bastidas, V. Calo, David Pardo |
- 2024-01-09 |
- ArXiv |
- 0 |
-
-
-
- Computing the Gerber-Shiu function with interest and a constant dividend barrier by physics-informed neural networks |
- Zan Yu, Lianzeng Zhang |
- 2024-01-09 |
- ArXiv |
- 0 |
-
-
@@ -787,14 +787,14 @@ 4. Latest articles on PINNs
Gradient-based learning applied to document recognition |
Yann LeCun, L. Bottou, Yoshua Bengio, P. Haffner |
None |
Proc. IEEE |
- 46107 |
+ 46228 |
Collective dynamics of ‘small-world’ networks |
D. Watts, S. Strogatz |
1998-06-04 |
Nature |
- 38536 |
+ 38560 |
Semi-Supervised Classification with Graph Convolutional Networks |
Thomas Kipf, M. Welling |
2016-09-09 |
ArXiv |
- 22197 |
+ 22282 |
Statistical mechanics of complex networks |
R. Albert, A. Barabási |
2001-06-06 |
ArXiv |
- 18835 |
+ 18843 |
- The Structure and Function of Complex Networks |
- M. Newman |
- 2003-03-25 |
- SIAM Rev. |
- 16802 |
+ TensorFlow: A system for large-scale machine learning |
+ Martín Abadi, P. Barham, Jianmin Chen, Z. Chen, Andy Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, Sherry Moore, D. Murray, Benoit Steiner, P. Tucker, Vijay Vasudevan, P. Warden, M. Wicke, Yuan Yu, Xiaoqiang Zhang |
+ 2016-05-27 |
+ USENIX Symposium on Operating Systems Design and Implementation |
+ 16806 |
- TensorFlow: A system for large-scale machine learning |
- Martín Abadi, P. Barham, Jianmin Chen, Z. Chen, Andy Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, Sherry Moore, D. Murray, Benoit Steiner, P. Tucker, Vijay Vasudevan, P. Warden, M. Wicke, Yuan Yu, Xiaoqiang Zhang |
- 2016-05-27 |
- USENIX Symposium on Operating Systems Design and Implementation |
- 16788 |
+ The Structure and Function of Complex Networks |
+ M. Newman |
+ 2003-03-25 |
+ SIAM Rev. |
+ 16797 |
Community structure in social and biological networks |
M. Girvan, M. Newman |
2001-12-07 |
Proceedings of the National Academy of Sciences of the United States of America |
- 14283 |
+ 14293 |
@@ -722,6 +722,14 @@ 4. Latest articles on Physics-informed GNNs
+
+ A graph-based neural network approach to integrate multi-source data for urban building function classification |
+ Bo Kong, Tinghua Ai, Xinyan Zou, Xiongfeng Yan, Min Yang |
+ 2024-06-01 |
+ Computers, Environment and Urban Systems |
+ 0 |
+
+
Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation |
Dongwei Xu, Hang Peng, Yufu Tang, Haifeng Guo |
@@ -731,53 +739,45 @@ 4. Latest articles on Physics-informed GNNs
- Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation |
- Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai |
+ Graph Convolutional Networks based short-term load forecasting: Leveraging spatial information for improved accuracy |
+ Haris Mansoor, M. S. Gull, Huzaifa Rauf, I. Shaikh, Muhammad Khalid, Naveed Arshad |
2024-05-01 |
- Control Engineering Practice |
+ Electric Power Systems Research |
0 |
- MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning |
- Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, Xinheng Wang |
+ Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation |
+ Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai |
2024-05-01 |
- Inf. Fusion |
+ Control Engineering Practice |
0 |
- DawnGNN: Documentation augmented windows malware detection using graph neural network |
- Pengbin Feng, Le Gai, Li Yang, Qin Wang, Teng Li, Ning Xi, Jianfeng Ma |
+ Node classification oriented Adaptive Multichannel Heterogeneous Graph Neural Network |
+ Yuqi Li, Chuanfeng Jian, Guosheng Zang, Chunyao Song, Xiaojie Yuan |
2024-05-01 |
- Computers & Security |
+ Knowledge-Based Systems |
0 |
- Multi-level Graph Memory Network Cluster Convolutional Recurrent Network for traffic forecasting |
- Le Sun, Wenzhang Dai, Muhammad Ghulam |
+ MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning |
+ Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, Xinheng Wang |
2024-05-01 |
Inf. Fusion |
0 |
- FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records |
- Yan Wang, Ruochi Zhang, Qian Yang, Qiong Zhou, Shengde Zhang, Yusi Fan, Lan Huang, Kewei Li, Fengfeng Zhou |
+ A motion-aware and temporal-enhanced Spatial–Temporal Graph Convolutional Network for skeleton-based human action segmentation |
+ Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, Shiyu Teng, T. Tateyama, Yinhao Li, Yen-wei Chen |
2024-05-01 |
- Information Processing & Management |
+ Neurocomputing |
0 |
-
- Multi-criteria group decision making based on graph neural networks in Pythagorean fuzzy environment |
- Zhenhua Meng, Rongheng Lin, Budan Wu |
- 2024-05-01 |
- Expert Systems with Applications |
- 1 |
-
-
@@ -787,14 +787,14 @@ 4. Latest articles on Physics-informed GNNs
On Neural Differential Equations |
Patrick Kidger |
2022-02-04 |
ArXiv |
- 128 |
+ 130 |
@@ -673,13 +673,13 @@ 3. Most cited articles on Symbolic regression
Take Their Word for It: The Symbolic Role of Linguistic Style Matches in User Communities |
S. Ludwig, K. Ruyter, D. Mahr, Martin Wetzels, E. Brüggen, Tom de Ruyck |
2014-12-01 |
MIS Q. |
- 69 |
+ 70 |
@@ -794,7 +794,7 @@ 4. Latest articles on Symbolic regression
var trace2 = {
x: ['1983', '1996', '1999', '2001', '2002', '2005', '2006', '2008', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024'],
- y: [7, 10, 6, 283, 111, 14, 11, 0, 58, 62, 63, 150, 25, 171, 160, 42, 10, 17, 68, 214, 14, 0],
+ y: [7, 10, 6, 283, 111, 14, 11, 0, 58, 62, 63, 151, 25, 171, 160, 42, 10, 17, 68, 216, 14, 0],
name: 'Num of citations',
yaxis: 'y2',
type: 'scatter'
diff --git a/site/index.html b/site/index.html
index edc77543..ecb07767 100644
--- a/site/index.html
+++ b/site/index.html
@@ -588,7 +588,7 @@ Overview
- This page was last updated on 2024-03-10 13:33:38 CET/CEST
+ This page was last updated on 2024-03-18 06:04:27 CET/CEST
@@ -638,7 +638,7 @@
3. Most cited articles
Yann LeCun, L. Bottou, Yoshua Bengio, P. Haffner |
|
Proc. IEEE |
- 46107 |
+ 46228 |
@@ -646,7 +646,7 @@ 3. Most cited articles
D. Watts, S. Strogatz |
|
Nature |
- 38536 |
+ 38560 |
@@ -654,7 +654,7 @@ 3. Most cited articles
Thomas Kipf, M. Welling |
|
ArXiv |
- 22197 |
+ 22282 |
@@ -662,23 +662,23 @@ 3. Most cited articles
R. Albert, A. Barabási |
|
ArXiv |
- 18835 |
+ 18843 |
- The Structure and Function of Complex Networks
|
- M. Newman |
+ TensorFlow: A system for large-scale machine learning
|
+ Martín Abadi, P. Barham, Jianmin Chen, Z. Chen, Andy Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, Sherry Moore, D. Murray, Benoit Steiner, P. Tucker, Vijay Vasudevan, P. Warden, M. Wicke, Yuan Yu, Xiaoqiang Zhang |
|
- SIAM Rev. |
- 16802 |
+ USENIX Symposium on Operating Systems Design and Implementation |
+ 16806 |
- TensorFlow: A system for large-scale machine learning
|
- Martín Abadi, P. Barham, Jianmin Chen, Z. Chen, Andy Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, Sherry Moore, D. Murray, Benoit Steiner, P. Tucker, Vijay Vasudevan, P. Warden, M. Wicke, Yuan Yu, Xiaoqiang Zhang |
+ The Structure and Function of Complex Networks
|
+ M. Newman |
|
- USENIX Symposium on Operating Systems Design and Implementation |
- 16788 |
+ SIAM Rev. |
+ 16797 |
@@ -686,7 +686,7 @@ 3. Most cited articles
M. Girvan, M. Newman |
|
Proceedings of the National Academy of Sciences of the United States of America |
- 14283 |
+ 14293 |
@@ -708,59 +708,59 @@ 4. Latest articles
- Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation
|
- Dongwei Xu, Hang Peng, Yufu Tang, Haifeng Guo |
+ A graph-based neural network approach to integrate multi-source data for urban building function classification
|
+ Bo Kong, Tinghua Ai, Xinyan Zou, Xiongfeng Yan, Min Yang |
|
- Information Fusion |
+ Computers, Environment and Urban Systems |
0 |
- Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation
|
- Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai |
+ Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation
|
+ Dongwei Xu, Hang Peng, Yufu Tang, Haifeng Guo |
|
- Control Engineering Practice |
+ Information Fusion |
0 |
- MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning
|
- Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, Xinheng Wang |
+ Graph Convolutional Networks based short-term load forecasting: Leveraging spatial information for improved accuracy
|
+ Haris Mansoor, M. S. Gull, Huzaifa Rauf, I. Shaikh, Muhammad Khalid, Naveed Arshad |
|
- Inf. Fusion |
+ Electric Power Systems Research |
0 |
- DawnGNN: Documentation augmented windows malware detection using graph neural network
|
- Pengbin Feng, Le Gai, Li Yang, Qin Wang, Teng Li, Ning Xi, Jianfeng Ma |
+ Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation
|
+ Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai |
|
- Computers & Security |
+ Control Engineering Practice |
0 |
- Multi-level Graph Memory Network Cluster Convolutional Recurrent Network for traffic forecasting
|
- Le Sun, Wenzhang Dai, Muhammad Ghulam |
+ Node classification oriented Adaptive Multichannel Heterogeneous Graph Neural Network
|
+ Yuqi Li, Chuanfeng Jian, Guosheng Zang, Chunyao Song, Xiaojie Yuan |
|
- Inf. Fusion |
+ Knowledge-Based Systems |
0 |
- FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records
|
- Yan Wang, Ruochi Zhang, Qian Yang, Qiong Zhou, Shengde Zhang, Yusi Fan, Lan Huang, Kewei Li, Fengfeng Zhou |
+ MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning
|
+ Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, Xinheng Wang |
|
- Information Processing & Management |
+ Inf. Fusion |
0 |
- Multi-criteria group decision making based on graph neural networks in Pythagorean fuzzy environment
|
- Zhenhua Meng, Rongheng Lin, Budan Wu |
+ A motion-aware and temporal-enhanced Spatial–Temporal Graph Convolutional Network for skeleton-based human action segmentation
|
+ Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, Shiyu Teng, T. Tateyama, Yinhao Li, Yen-wei Chen |
|
- Expert Systems with Applications |
- 1 |
+ Neurocomputing |
+ 0 |
@@ -780,14 +780,14 @@ 5. Comparison metrics