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A Survey on Spectral Graph Neural Networks

A Survey on Spectral Graph Neural Networks

11 February 2023
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
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Papers citing "A Survey on Spectral Graph Neural Networks"

50 / 54 papers shown
Title
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
254
20
0
28 Jan 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
Changwoon Choi
Jeongjun Kim
Geonho Cha
Minkwan Kim
Dongyoon Wee
Young Min Kim
3DH
122
0
0
26 Dec 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Junjie Xu
Artem Moskalev
Tommaso Mansi
Mangal Prakash
Rui Liao
AI4CE
68
3
0
15 Oct 2024
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
104
85
0
02 Mar 2023
Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Nian Liu
Xiao Wang
Deyu Bo
Chuan Shi
Jian Pei
40
67
0
05 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViT
MedIm
AI4CE
116
77
0
27 Sep 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets
  Graph Signal Processing
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing
Daizong Liu
Wei Hu
Xin Li
AAML
3DPC
69
15
0
27 Jul 2022
Graph-based Molecular Representation Learning
Graph-based Molecular Representation Learning
Zhichun Guo
Kehan Guo
B. Nan
Yijun Tian
Roshni G. Iyer
...
Olaf Wiest
Xiangliang Zhang
Wei Wang
Chuxu Zhang
Nitesh Chawla
AI4CE
54
62
0
08 Jul 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural
  Networks
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Runlin Lei
Zhen Wang
Yaliang Li
Bolin Ding
Zhewei Wei
AAML
72
44
0
27 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek
Mikhail Galkin
Vijay Prakash Dwivedi
Anh Tuan Luu
Guy Wolf
Dominique Beaini
111
564
0
25 May 2022
How Powerful are Spectral Graph Neural Networks
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang
Muhan Zhang
101
196
0
23 May 2022
Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Hongya Wang
Haoteng Yin
Muhan Zhang
Pan Li
78
113
0
01 Mar 2022
Sign and Basis Invariant Networks for Spectral Graph Representation
  Learning
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Derek Lim
Joshua Robinson
Lingxiao Zhao
Tess E. Smidt
S. Sra
Haggai Maron
Stefanie Jegelka
78
147
0
25 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He
Zhewei Wei
Ji-Rong Wen
GNN
60
107
0
04 Feb 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Mingqi Yang
Yanming Shen
Rui Li
Heng Qi
Qian Zhang
Baocai Yin
GNN
45
29
0
14 Dec 2021
Adaptive Kernel Graph Neural Network
Adaptive Kernel Graph Neural Network
Mingxuan Ju
Shifu Hou
Yujie Fan
Jianan Zhao
Liang Zhao
Yanfang Ye
106
24
0
08 Dec 2021
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
258
326
0
15 Oct 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
  Approximation
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
108
226
0
21 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks
Breaking the Limits of Message Passing Graph Neural Networks
M. Balcilar
Pierre Héroux
Benoit Gaüzère
Pascal Vasseur
Sébastien Adam
P. Honeine
63
125
0
08 Jun 2021
Rethinking Graph Transformers with Spectral Attention
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer
Dominique Beaini
William L. Hamilton
Vincent Létourneau
Prudencio Tossou
88
536
0
07 Jun 2021
Graph Neural Networks in Network Neuroscience
Graph Neural Networks in Network Neuroscience
Alaa Bessadok
Mohamed Ali Mahjoub
I. Rekik
GNN
53
180
0
07 Jun 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong
Kaize Ding
B. Jalaeian
Shuiwang Ji
Jundong Li
85
62
0
26 Apr 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series
  Forecasting
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao
Yujing Wang
Juanyong Duan
Ce Zhang
Xia Zhu
...
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
49
513
0
13 Mar 2021
MagNet: A Neural Network for Directed Graphs
MagNet: A Neural Network for Directed Graphs
Xitong Zhang
Yixuan He
Nathan Brugnone
Michael Perlmutter
M. Hirn
112
130
0
22 Feb 2021
Interpretable Stability Bounds for Spectral Graph Filters
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay
D. Thanou
Xiaowen Dong
66
40
0
18 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
93
203
0
28 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
168
588
0
04 Jan 2021
A Unified View on Graph Neural Networks as Graph Signal Denoising
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Jiliang Tang
Neil Shah
AI4CE
97
177
0
05 Oct 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and
  Applications
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu
Jiahao Pang
Xianming Liu
Dong Tian
Chia-Wen Lin
A. Vetro
50
62
0
05 Aug 2020
Graph signal processing for machine learning: A review and new
  perspectives
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
54
163
0
31 Jul 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
261
738
0
14 Jun 2020
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and
  Semi-Supervised Learning on Graphs
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs
Qimai Li
Xiaotong Zhang
Han Liu
Quanyu Dai
Xiao-Ming Wu
GNN
SSL
44
15
0
26 Sep 2019
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
98
128
0
30 Jul 2019
Graph Wavelet Neural Network
Graph Wavelet Neural Network
Bingbing Xu
Huawei Shen
Qi Cao
Yunqi Qiu
Xueqi Cheng
GNN
67
332
0
12 Apr 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
140
1,319
0
10 Mar 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
233
3,172
0
19 Feb 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao
Zhizhen Zhao
R. Urtasun
R. Zemel
GNN
73
228
0
06 Jan 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
71
393
0
05 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
754
8,526
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
1.1K
5,515
0
20 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
216
1,686
0
14 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
238
7,642
0
01 Oct 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
157
1,067
0
21 May 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
85
1,932
0
27 Feb 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNN
SSL
182
2,826
0
22 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
470
20,138
0
30 Oct 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE,
  and node2vec
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
J. Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
74
917
0
09 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
498
15,232
0
07 Jun 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
185
659
0
22 May 2017
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