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Mitigating Oversmoothing Through Reverse Process of GNNs for
  Heterophilic Graphs

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

11 March 2024
M. Park
Jaeseung Heo
Dongwoo Kim
ArXivPDFHTML

Papers citing "Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs"

3 / 3 papers shown
Title
Characterizing Graph Datasets for Node Classification:
  Homophily-Heterophily Dichotomy and Beyond
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Oleg Platonov
Denis Kuznedelev
Artem Babenko
Liudmila Prokhorenkova
59
37
0
13 Sep 2022
How Powerful are Spectral Graph Neural Networks
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang
Muhan Zhang
78
180
0
23 May 2022
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
562
0
04 Jan 2021
1