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From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
16 October 2023
Andi Han
Dai Shi
Lequan Lin
Junbin Gao
AI4CE
GNN
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Papers citing
"From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond"
23 / 23 papers shown
Graph Neural Regularizers for PDE Inverse Problems
William Lauga
James Rowbottom
Alexander Denker
Ž. Kereta
Moshe Eliasof
Carola-Bibiane Schönlieb
AI4CE
174
0
0
23 Oct 2025
Second-Order Tensorial Partial Differential Equations on Graphs
Aref Einizade
Fragkiskos D. Malliaros
Jhony H. Giraldo
261
0
0
02 Sep 2025
A Geometric Perspective on the Difficulties of Learning GNN-based SAT Solvers
Geri Skenderi
131
0
0
29 Aug 2025
Wavy Transformer
Satoshi Noguchi
Yoshinobu Kawahara
217
0
0
18 Aug 2025
Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
Xiaoyu Li
Guangyu Tang
Jiaojiao Jiang
195
1
0
13 Aug 2025
TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows
Moshe Eliasof
E. Haber
Carola-Bibiane Schönlieb
179
0
0
07 Aug 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks
Shahaf E. Finder
Ron Shapira Weber
Moshe Eliasof
Oren Freifeld
Eran Treister
291
2
0
29 May 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
International Conference on Multimedia Retrieval (ICMR), 2025
Hao Sun
J. Q. Shi
Xinming Zhang
Miao Zhang
B. Li
326
0
0
29 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Ziqiang Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei Jin
AI4TS
AI4CE
1.4K
19
0
29 Mar 2025
Continuous Simplicial Neural Networks
Aref Einizade
Dorina Thanou
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4CE
501
3
0
17 Mar 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model
Physical Review X (PRX), 2025
O. Duranthon
L. Zdeborová
579
1
0
03 Mar 2025
Distributed-Order Fractional Graph Operating Network
Neural Information Processing Systems (NeurIPS), 2024
Kai Zhao
Xuhao Li
Qiyu Kang
Feng Ji
Qinxu Ding
Yanan Zhao
Wenfei Liang
Wee Peng Tay
GNN
295
5
0
08 Nov 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
International Conference on Learning Representations (ICLR), 2024
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
326
0
0
08 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition
International Conference on Learning Representations (ICLR), 2024
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
283
1
0
08 Oct 2024
Continuous Product Graph Neural Networks
Aref Einizade
Fragkiskos D. Malliaros
Jhony H. Giraldo
321
7
0
29 May 2024
Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in Mixed-Species Collective Motion
Masahito Uwamichi
S. Schnyder
Tetsuya J. Kobayashi
Satoshi Sawai
227
0
0
26 May 2024
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
304
3
0
21 May 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Qiyu Kang
Kai Zhao
Qinxu Ding
Feng Ji
Xuhao Li
Wenfei Liang
Yang Song
Wee Peng Tay
401
20
0
26 Apr 2024
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks
International Journal of Machine Learning and Cybernetics (IJMLC), 2024
Dai Shi
Andi Han
Lequan Lin
Yi Guo
Zhiyong Wang
Junbin Gao
312
10
0
26 Jan 2024
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
AAAI Conference on Artificial Intelligence (AAAI), 2024
Qiyu Kang
Kai Zhao
Yang Song
Yihang Xie
Yanan Zhao
Sijie Wang
Rui She
Wee Peng Tay
433
11
0
09 Jan 2024
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges
Dai Shi
Andi Han
Lequan Lin
Yi Guo
Junbin Gao
363
24
0
13 Nov 2023
Frameless Graph Knowledge Distillation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Dai Shi
Zhiqi Shao
Yi Guo
Junbin Gao
218
4
0
13 Jul 2023
Hyperbolic Graph Convolutional Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
521
812
0
28 Oct 2019
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