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?"
14 / 14 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
Y. Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
89
0
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
82
0
0
21 Dec 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
Jinluan Yang
Zhengyu Chen
Teng Xiao
Wenqiao Zhang
Yong Lin
Kun Kuang
48
0
0
18 Aug 2024
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
19
4
0
06 Mar 2024
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Yuya Sasaki
25
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
23
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
13
61
0
03 Feb 2023
Clenshaw Graph Neural Networks
Y. Guo
Zhewei Wei
GNN
45
10
0
29 Oct 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
13
181
0
15 May 2022
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
84
554
0
04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
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
226
1,726
0
09 Jun 2018
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
1