Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2109.05641
Cited By
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
12 September 2021
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Mingde Zhao
Shuyuan Zhang
Xiaoming Chang
Doina Precup
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?"
26 / 26 papers shown
Title
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Yunke Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
101
3
0
07 Feb 2025
THeGCN: Temporal Heterophilic Graph Convolutional Network
Yuchen Yan
Yuzhong Chen
Huiyuan Chen
Xiaoting Li
Zhe Xu
Zhichen Zeng
Lihui Liu
Zhining Liu
Hanghang Tong
86
0
0
21 Dec 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
Feng Zhou
Jingwen Xu
Feng Zhou
Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNN
AI4CE
52
0
0
11 Oct 2024
Re-evaluating the Advancements of Heterophilic Graph Learning
Sitao Luan
Qincheng Lu
Chenqing Hua
Xinyu Wang
Jiaqi Zhu
Xiao-Wen Chang
57
2
0
09 Sep 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
Jinluan Yang
Zhengyu Chen
Teng Xiao
Wenqiao Zhang
Yong Lin
Kun Kuang
53
1
0
18 Aug 2024
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
37
5
0
06 Mar 2024
Effective Protein-Protein Interaction Exploration with PPIretrieval
Chenqing Hua
Connor W. Coley
Guy Wolf
Doina Precup
Shuangjia Zheng
33
3
0
06 Feb 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
Bingheng Li
Erlin Pan
Zhao Kang
24
31
0
22 Dec 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Yuya Sasaki
40
0
0
30 Aug 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Donald Loveland
Jiong Zhu
Mark Heimann
Benjamin Fish
Michael T. Shaub
Danai Koutra
30
5
0
08 Jun 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
32
63
0
03 Feb 2023
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
19
33
0
21 Dec 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Jie Chen
Zilong Li
Ying Zhu
Junping Zhang
Jian Pu
34
8
0
21 Nov 2022
Clenshaw Graph Neural Networks
Y. Guo
Zhewei Wei
GNN
61
10
0
29 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
32
48
0
02 Oct 2022
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Oleg Platonov
Denis Kuznedelev
Artem Babenko
Liudmila Prokhorenkova
56
37
0
13 Sep 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
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua
Guillaume Rabusseau
Jian Tang
72
25
0
24 May 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
18
181
0
15 May 2022
Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya
Cameron Musco
19
25
0
08 Feb 2022
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yujun Yan
Milad Hashemi
Kevin Swersky
Yaoqing Yang
Danai Koutra
36
248
0
12 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
94
562
0
04 Jan 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
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
1