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Finding Global Homophily in Graph Neural Networks When Meeting
  Heterophily

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

15 May 2022
Xiang Li
Renyu Zhu
Yao Cheng
Caihua Shan
Siqiang Luo
Dongsheng Li
Wei Qian
ArXivPDFHTML

Papers citing "Finding Global Homophily in Graph Neural Networks When Meeting Heterophily"

50 / 122 papers shown
Title
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural
  Network
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
Yilun Zheng
Jiahao Xu
Lihui Chen
45
2
0
26 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Dongqi Fu
Zhigang Hua
Yan Xie
Jin Fang
Si Zhang
Kaan Sancak
Hao Wu
Andrey Malevich
Jingrui He
Bo Long
42
19
0
24 Mar 2024
Contextualized Messages Boost Graph Representations
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
AI4CE
72
2
0
19 Mar 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for
  Heterophilic Graphs
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
M. Park
Jaeseung Heo
Dongwoo Kim
37
0
0
11 Mar 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
40
5
0
06 Mar 2024
Provable Filter for Real-world Graph Clustering
Provable Filter for Real-world Graph Clustering
Xuanting Xie
Erlin Pan
Zhao Kang
Wenyu Chen
Bingheng Li
GNN
44
2
0
06 Mar 2024
Robust Graph Structure Learning under Heterophily
Robust Graph Structure Learning under Heterophily
Xuanting Xie
Zhao Kang
Wenyu Chen
44
3
0
06 Mar 2024
Representation Learning on Heterophilic Graph with Directional
  Neighborhood Attention
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
Qincheng Lu
Jiaqi Zhu
Sitao Luan
Xiaomeng Chang
36
5
0
03 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng
Zichao Yue
Zhiru Zhang
93
23
0
02 Mar 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology
  Heterogeneity
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
Xunkai Li
Zhengyu Wu
Wentao Zhang
Henan Sun
Ronghua Li
Guoren Wang
FedML
40
8
0
22 Jan 2024
Understanding Heterophily for Graph Neural Networks
Understanding Heterophily for Graph Neural Networks
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
34
11
0
17 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive
  Filtering
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
Jingwei Guo
Kaizhu Huang
Xinping Yi
Zixian Su
Rui Zhang
24
3
0
17 Jan 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
Bingheng Li
Erlin Pan
Zhao Kang
24
31
0
22 Dec 2023
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly
  Detection
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
Yuan-Qi Bei
Sheng Zhou
Qiaoyu Tan
Hao Xu
Hao Chen
Zhao Li
Jiajun Bu
29
15
0
09 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in
  Semi-supervised Node Classification
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
Henan Sun
Xunkai Li
Zhengyu Wu
Daohan Su
Ronghua Li
Guoren Wang
37
12
0
07 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural
  Networks
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
Keke Huang
Pietro Lió
16
1
0
30 Nov 2023
PGODE: Towards High-quality System Dynamics Modeling
PGODE: Towards High-quality System Dynamics Modeling
Xiao Luo
Yiyang Gu
Huiyu Jiang
Hang Zhou
Jinsheng Huang
Wei Ju
Zhiping Xiao
Ming Zhang
Yizhou Sun
AI4CE
40
6
0
11 Nov 2023
p-Laplacian Transformer
p-Laplacian Transformer
Tuan Nguyen
Tam Nguyen
Vinh-Tiep Nguyen
Tan-Minh Nguyen
79
0
0
06 Nov 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label
  Noise
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
Yao Cheng
Caihua Shan
Yifei Shen
Xiang Li
Siqiang Luo
Dongsheng Li
27
6
0
25 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph
  Representation Learning
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning
Jinsong Chen
Gaichao Li
J. Hopcroft
Kun He
SLR
13
5
0
17 Oct 2023
Shape-aware Graph Spectral Learning
Shape-aware Graph Spectral Learning
Junjie Xu
Enyan Dai
Dongsheng Luo
Xiang Zhang
Suhang Wang
29
3
0
16 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics
How Graph Neural Networks Learn: Lessons from Training Dynamics
Chenxiao Yang
Qitian Wu
David Wipf
Ruoyu Sun
Junchi Yan
AI4CE
GNN
22
1
0
08 Oct 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs
HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke
Daniel Cremers
36
9
0
03 Oct 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians
  on Simplicial Complexes
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Yiming Huang
Yujie Zeng
Qiang Wu
Linyuan Lu
27
18
0
22 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via
  Monte-Carlo Tree Search
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Yuya Sasaki
40
0
0
30 Aug 2023
Investigating the Interplay between Features and Structures in Graph
  Learning
Investigating the Interplay between Features and Structures in Graph Learning
Daniele Castellana
Federico Errica
36
3
0
18 Aug 2023
UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node
  Classification
UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification
Mi Zou
Zhongxue Gan
Yutong Wang
Junheng Zhang
Dongyan Sui
Chun Guan
Siyang Leng
25
17
0
03 Aug 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
Mengyi Yuan
Minjie Chen
Xiangci Li
SSL
29
8
0
29 Jul 2023
PathMLP: Smooth Path Towards High-order Homophily
PathMLP: Smooth Path Towards High-order Homophily
Chenxuan Xie
Jiajun Zhou
Sheng Gong
Jiacheng Wan
Jiaxu Qian
Shanqing Yu
Qi Xuan
Xiaoniu Yang
21
5
0
23 Jun 2023
Evolving Computation Graphs
Evolving Computation Graphs
Andreea Deac
Jian Tang
22
1
0
22 Jun 2023
Spatial Heterophily Aware Graph Neural Networks
Spatial Heterophily Aware Graph Neural Networks
Congxi Xiao
Jingbo Zhou
Jizhou Huang
Tong Xu
Hui Xiong
26
5
0
21 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph
  Representations
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu
Wen-Long Zhao
Chenxiao Yang
Hengrui Zhang
Fan Nie
Haitian Jiang
Yatao Bian
Junchi Yan
AI4CE
35
76
0
19 Jun 2023
Hyperbolic Convolution via Kernel Point Aggregation
Hyperbolic Convolution via Kernel Point Aggregation
Eric Qu
Dongmian Zou
45
3
0
15 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs
A Simple and Scalable Graph Neural Network for Large Directed Graphs
Seiji Maekawa
Yuya Sasaki
Makoto Onizuka
GNN
26
0
0
14 Jun 2023
Clarify Confused Nodes via Separated Learning
Clarify Confused Nodes via Separated Learning
Jiajun Zhou
Sheng Gong
Chenxuan Xie
Shanqing Yu
Qi Xuan
Xiaoniu Yang
Xiaoniu Yang
81
3
0
04 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao
Zhikai Chen
Wei Jin
Haoyu Han
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
33
32
0
02 Jun 2023
Self-attention Dual Embedding for Graphs with Heterophily
Self-attention Dual Embedding for Graphs with Heterophily
Yurui Lai
Taiyan Zhang
Rui Fan
GNN
38
0
0
28 May 2023
Graph Neural Convection-Diffusion with Heterophily
Graph Neural Convection-Diffusion with Heterophily
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
31
27
0
26 May 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better
  and Simpler Choice towards Powerful Attention
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Hongjun Wang
Jiyuan Chen
Lun Du
Qiang Fu
Shi Han
Xuan Song
CML
GNN
35
4
0
22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing
A Fractional Graph Laplacian Approach to Oversmoothing
Sohir Maskey
Raffaele Paolino
Aras Bacho
Gitta Kutyniok
27
29
0
22 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
22
56
0
17 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
19
16
0
07 May 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Erlin Pan
Zhao Kang
37
35
0
03 May 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
41
3
0
25 Apr 2023
Graph Contrastive Learning under Heterophily via Graph Filters
Graph Contrastive Learning under Heterophily via Graph Filters
Wenhan Yang
Baharan Mirzasoleiman
25
2
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
32
0
0
02 Mar 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
31
188
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
20
3
0
21 Feb 2023
Heterophily-Aware Graph Attention Network
Heterophily-Aware Graph Attention Network
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
24
2
0
07 Feb 2023
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