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2108.01938
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PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
4 August 2021
Moshe Eliasof
E. Haber
Eran Treister
GNN
AI4CE
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Papers citing
"PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations"
27 / 27 papers shown
Title
Resolving Oversmoothing with Opinion Dissensus
Keqin Wang
Yulong Yang
Ishan Saha
Christine Allen-Blanchette
60
1
0
31 Jan 2025
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
23
0
0
08 Oct 2024
Learning Regularization for Graph Inverse Problems
Moshe Eliasof
Md Shahriar Rahim Siddiqui
Carola-Bibiane Schönlieb
Eldad Haber
GNN
34
0
0
19 Aug 2024
Graph Neural Reaction Diffusion Models
Moshe Eliasof
Eldad Haber
Eran Treister
DiffM
AI4CE
35
2
0
16 Jun 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
46
0
0
23 Mar 2024
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
37
5
0
06 Mar 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
44
0
0
23 Feb 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
Bingheng Li
Erlin Pan
Zhao Kang
21
31
0
22 Dec 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation
Jialin Chen
Yuelin Wang
Cristian Bodnar
Rex Ying
Pietro Lió
Yu Guang Wang
29
10
0
09 Nov 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
GNN
24
3
0
20 Jul 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Alan John Varghese
Aniruddha Bora
Mengjia Xu
George Karniadakis
36
5
0
05 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Tingting Dan
Jiaqi Ding
Ziquan Wei
S. Kovalsky
Minjeong Kim
Won Hwa Kim
Guorong Wu
DiffM
24
6
0
01 Jul 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
Yige Yuan
Bingbing Xu
Bo Lin
Liang Hou
Fei Sun
Huawei Shen
Xueqi Cheng
DiffM
26
4
0
25 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing
Sohir Maskey
Raffaele Paolino
Aras Bacho
Gitta Kutyniok
24
29
0
22 May 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Zhaoliang Chen
Zhihao Wu
Zhe-Hui Lin
Shiping Wang
Claudia Plant
Wenzhong Guo
29
18
0
14 Apr 2023
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch
Michael M. Bronstein
Siddhartha Mishra
26
185
0
20 Mar 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Yesom Park
Jaemoo Choi
Changyeon Yoon
Changhoon Song
Myung-joo Kang
AI4TS
AI4CE
27
3
0
02 Feb 2023
Changes from Classical Statistics to Modern Statistics and Data Science
Kai Zhang
Shan-Yu Liu
M. Xiong
31
0
0
30 Oct 2022
Modular Flows: Differential Molecular Generation
Yogesh Verma
Samuel Kaski
Markus Heinonen
Vikas K. Garg
29
14
0
12 Oct 2022
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
72
13
0
08 Oct 2022
Estimating a potential without the agony of the partition function
E. Haber
Moshe Eliasof
L. Tenorio
33
2
0
19 Aug 2022
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition
Yuelin Wang
Kai Yi
Xinliang Liu
Yu Guang Wang
Shi Jin
16
33
0
11 Jun 2022
Graph-Coupled Oscillator Networks
T. Konstantin Rusch
B. Chamberlain
J. Rowbottom
S. Mishra
M. Bronstein
31
102
0
04 Feb 2022
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
Ido Ben-Yair
Gil Ben Shalom
Moshe Eliasof
Eran Treister
MQ
24
5
0
31 Aug 2021
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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