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Understanding Heterophily for Graph Neural Networks

Understanding Heterophily for Graph Neural Networks

17 January 2024
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
ArXivPDFHTML

Papers citing "Understanding Heterophily for Graph Neural Networks"

4 / 4 papers shown
Title
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
Y. Choi
Chong-Kwon Kim
29
0
0
13 May 2025
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
94
558
0
04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks
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
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
152
0
23 Jul 2018
1