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2505.20034
Cited By
Graph Wave Networks
26 May 2025
Juwei Yue
Haikuo Li
Jiawei Sheng
Yihan Guo
Xinghua Zhang
Chuan Zhou
Tingwen Liu
Li Guo
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Papers citing
"Graph Wave Networks"
41 / 41 papers shown
Title
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
Juwei Yue
Haikuo Li
Jiawei Sheng
Xiaodong Li
Taoyu Su
Tingwen Liu
Li Guo
19
0
0
29 May 2025
A Generalized Neural Diffusion Framework on Graphs
Yibo Li
Xiao Wang
Hongrui Liu
Chuan Shi
DiffM
AI4CE
35
17
0
14 Dec 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
61
66
0
03 Feb 2023
A Graph-Enhanced Click Model for Web Search
Jianghao Lin
Weiwen Liu
Xinyi Dai
Weinan Zhang
Shuai Li
Ruiming Tang
Xiuqiang He
Jianye Hao
Yong Yu
44
36
0
17 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Ziqi Yin
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Tengjiao Wang
GNN
AI4CE
45
41
0
09 Jun 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li
Renyu Zhu
Yao Cheng
Caihua Shan
Siqiang Luo
Dongsheng Li
Wei Qian
46
187
0
15 May 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
62
175
0
09 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He
Zhewei Wei
Ji-Rong Wen
GNN
41
107
0
04 Feb 2022
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim
Felix Hohne
Xiuyu Li
Sijia Huang
Vaishnavi Gupta
Omkar Bhalerao
Ser-Nam Lim
97
347
0
27 Oct 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof
E. Haber
Eran Treister
GNN
AI4CE
66
123
0
04 Aug 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
77
223
0
21 Jun 2021
GRAND: Graph Neural Diffusion
B. Chamberlain
J. Rowbottom
Maria I. Gorinova
Stefan Webb
Emanuele Rossi
M. Bronstein
GNN
85
261
0
21 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh
Vinith Budde
Jennifer Neville
Pan Li
Jianzhu Ma
56
133
0
11 Jun 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
GNN
63
79
0
22 Feb 2021
How Framelets Enhance Graph Neural Networks
Xuebin Zheng
Bingxin Zhou
Junbin Gao
Yu Guang Wang
Pietro Lio
Ming Li
Guido Montúfar
66
69
0
13 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
150
573
0
04 Jan 2021
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
117
1,202
0
04 Nov 2020
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
82
1,473
0
04 Jul 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
195
729
0
14 Jun 2020
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
263
1,105
0
13 Feb 2020
Continuous Graph Neural Networks
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
GNN
70
151
0
02 Dec 2019
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
90
159
0
18 Nov 2019
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
114
696
0
28 Oct 2019
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
229
849
0
28 Sep 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
79
895
0
30 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
GNN
110
1,333
0
07 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
169
4,303
0
06 Mar 2019
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
160
3,149
0
19 Feb 2019
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
61
389
0
05 Jan 2019
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
323
8,441
0
03 Jan 2019
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
110
1,345
0
14 Nov 2018
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
232
5,024
0
19 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
465
1,965
0
09 Jun 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
319
19,991
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
403
15,066
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
447
28,901
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
253
7,622
0
30 Jun 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNN
SSL
150
2,081
0
29 Mar 2016
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
844
149,474
0
22 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
141
4,856
0
21 Dec 2013
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
108
3,962
0
31 Oct 2012
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