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Beyond Low-frequency Information in Graph Convolutional Networks

Beyond Low-frequency Information in Graph Convolutional Networks

4 January 2021
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
    GNN
ArXiv (abs)PDFHTML

Papers citing "Beyond Low-frequency Information in Graph Convolutional Networks"

50 / 260 papers shown
Title
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and
  Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework
Lirong Wu
Haitao Lin
Yufei Huang
Tianyu Fan
Stan Z. Li
96
29
0
18 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi
Bertrand Charpentier
Francesco Di Giovanni
Fabrizio Frasca
Stephan Günnemann
Michael M. Bronstein
131
71
0
17 May 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural
  Network for Spatio-temporal Forecasting
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting
G. Liang
Prayag Tiwari
Sławomir Nowaczyk
Stefan Byttner
F. Alonso-Fernandez
DiffM
71
19
0
16 May 2023
LSGNN: Towards General Graph Neural Network in Node Classification by
  Local Similarity
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Yuhan Chen
Yihong Luo
Jing Tang
Liang Yang
Si-Huang Qiu
Chuan Wang
Xiaochun Cao
85
22
0
07 May 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Erlin Pan
Zhao Kang
81
42
0
03 May 2023
Imbalanced Node Classification Beyond Homophilic Assumption
Imbalanced Node Classification Beyond Homophilic Assumption
Jie Liu
Mengting He
Guangtao Wang
Nguyen Quoc Viet Hung
Xuequn Shang
Hongzhi Yin
90
13
0
28 Apr 2023
When Do Graph Neural Networks Help with Node Classification?
  Investigating the Impact of Homophily Principle on Node Distinguishability
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
Sitao Luan
Chenqing Hua
Minkai Xu
Qincheng Lu
Jiaqi Zhu
Xiaoming Chang
Jie Fu
J. Leskovec
Doina Precup
93
5
0
25 Apr 2023
GCNH: A Simple Method For Representation Learning On Heterophilous
  Graphs
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs
Andrea Cavallo
Claas Grohnfeldt
Michele Russo
Giulio Lovisotto
L. Vassio
63
10
0
21 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin
You Li
Ning Gui
Zhuopeng Xu
Zhiwu Yu
SSL
95
8
0
15 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNNAI4TS
188
163
0
11 Apr 2023
How Graph Structure and Label Dependencies Contribute to Node
  Classification in a Large Network of Documents
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents
Pirmin Lemberger
Antoine Saillenfest
GNN
61
0
0
03 Apr 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
Linxuan Song
Wenxuan Tu
Sihang Zhou
Xinwang Liu
En Zhu
81
4
0
14 Mar 2023
Graph Contrastive Learning under Heterophily via Graph Filters
Graph Contrastive Learning under Heterophily via Graph Filters
Wenhan Yang
Baharan Mirzasoleiman
107
3
0
11 Mar 2023
Steering Graph Neural Networks with Pinning Control
Steering Graph Neural Networks with Pinning Control
Acong Zhang
P. Li
Guanrong Chen
LLMSV
69
0
0
02 Mar 2023
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
140
88
0
02 Mar 2023
Framelet Message Passing
Framelet Message Passing
Xinliang Liu
Bingxin Zhou
Chutian Zhang
Yu Guang Wang
77
5
0
28 Feb 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
Xin Zheng
Miao Zhang
C. Chen
Qin Zhang
Chuan Zhou
Shirui Pan
GNN
95
31
0
23 Feb 2023
A critical look at the evaluation of GNNs under heterophily: Are we
  really making progress?
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov
Denis Kuznedelev
Michael Diskin
Artem Babenko
Liudmila Prokhorenkova
128
222
0
22 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification
Diffusion Probabilistic Models for Structured Node Classification
Hyosoon Jang
Seonghyun Park
Sangwoo Mo
SungSoo Ahn
DiffM
92
3
0
21 Feb 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching
  for Semi-supervised Node Classification
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
70
8
0
20 Feb 2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang
Lun Du
Xu Chen
Qiang Fu
Shi Han
Dongmei Zhang
AAML
93
38
0
16 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo
Lun Du
Wendong Bi
Qiang Fu
Xiaojun Ma
Xu Chen
Shi Han
Dongmei Zhang
Yan Zhang
72
27
0
13 Feb 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
114
29
0
11 Feb 2023
Heterophily-Aware Graph Attention Network
Heterophily-Aware Graph Attention Network
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
72
4
0
07 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and
  Over-smoothing
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
101
72
0
03 Feb 2023
Neighborhood Homophily-based Graph Convolutional Network
Neighborhood Homophily-based Graph Convolutional Network
Sheng Gong
Jiajun Zhou
Chenxuan Xie
Qi Xuan
GNN
115
10
0
24 Jan 2023
State of the Art and Potentialities of Graph-level Learning
State of the Art and Potentialities of Graph-level Learning
Zhenyu Yang
Ge Zhang
Hongzhi Zhang
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio
GNNAI4CE
132
15
0
14 Jan 2023
Beyond Graph Convolutional Network: An Interpretable
  Regularizer-centered Optimization Framework
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
Shiping Wang
Zhihao Wu
Yuhong Chen
Yongzhe Chen
GNNBDL
82
14
0
11 Jan 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for
  Interpretable Brain Network-Based Psychiatric Diagnosis
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
Kaizhong Zheng
Shujian Yu
Badong Chen
CML
125
33
0
04 Jan 2023
Multi-duplicated Characterization of Graph Structures using Information
  Gain Ratio for Graph Neural Networks
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks
Yuga Oishi
Ken Kaneiwa
83
1
0
24 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with
  Diversification for Graph Convolutional Neural Networks
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
Sitao Luan
Mingde Zhao
Chenqing Hua
Xiao-Wen Chang
Doina Precup
GNN
67
34
0
21 Dec 2022
Localized Contrastive Learning on Graphs
Localized Contrastive Learning on Graphs
Hengrui Zhang
Qitian Wu
Yu Wang
Shaofeng Zhang
Junchi Yan
Philip S. Yu
92
12
0
08 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks
Node-oriented Spectral Filtering for Graph Neural Networks
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Youru Li
Yao-Min Zhao
83
19
0
07 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for
  Semi-supervised Classification
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
Jun-Liang Lin
Yuan Wan
Jingwen Xu
X. Qi
118
0
0
04 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks
Hierarchical Model Selection for Graph Neural Netoworks
Yuga Oishi
Ken Kaneiwa
66
0
0
01 Dec 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Zi-Chao Gao
Yifan Niu
Jiashun Cheng
Jianheng Tang
Tingyang Xu
P. Zhao
Lanqing Li
Fugee Tsung
Jia Li
128
13
0
30 Nov 2022
Every Node Counts: Improving the Training of Graph Neural Networks on
  Node Classification
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification
Moshe Eliasof
E. Haber
Eran Treister
GNN
112
0
0
29 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks
GREAD: Graph Neural Reaction-Diffusion Networks
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
DiffMGNN
91
30
0
25 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable
  Graph Learning Paradigm
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Jie Chen
Zilong Li
Ying Zhu
Junping Zhang
Jian Pu
89
8
0
21 Nov 2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs:
  One Neural Architecture Search Approach
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach
Lanning Wei
Zhiqiang He
Huan Zhao
Quanming Yao
69
1
0
20 Nov 2022
Single-Pass Contrastive Learning Can Work for Both Homophilic and
  Heterophilic Graph
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph
Hong Wang
Jieyu Zhang
Qi Zhu
Wei Huang
Kenji Kawaguchi
X. Xiao
112
13
0
20 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering
Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
80
45
0
17 Nov 2022
Learnable Graph Convolutional Network and Feature Fusion for Multi-view
  Learning
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen
Lele Fu
J. Yao
Wenzhong Guo
Claudia Plant
Shiping Wang
92
124
0
16 Nov 2022
Total Variation Graph Neural Networks
Total Variation Graph Neural Networks
Jonas Hansen
F. Bianchi
112
12
0
11 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators
Improving Graph Neural Networks with Learnable Propagation Operators
Moshe Eliasof
Lars Ruthotto
Eran Treister
102
23
0
31 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
Jie Chen
Shouzhen Chen
Mingyuan Bai
Junbin Gao
Junping Zhang
Jian Pu
90
10
0
18 Oct 2022
Improving Your Graph Neural Networks: A High-Frequency Booster
Improving Your Graph Neural Networks: A High-Frequency Booster
Jiaqi Sun
Lin Zhang
Shenglin Zhao
Yujiu Yang
77
8
0
15 Oct 2022
Revisiting Heterophily For Graph Neural Networks
Revisiting Heterophily For Graph Neural Networks
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Mingde Zhao
Shuyuan Zhang
Xiaoming Chang
Doina Precup
86
201
0
14 Oct 2022
Generalized energy and gradient flow via graph framelets
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
178
13
0
08 Oct 2022
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
73
68
0
05 Oct 2022
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