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GCNH: A Simple Method For Representation Learning On Heterophilous
  Graphs

GCNH: A Simple Method For Representation Learning On Heterophilous Graphs

21 April 2023
Andrea Cavallo
Claas Grohnfeldt
Michele Russo
Giulio Lovisotto
L. Vassio
ArXivPDFHTML

Papers citing "GCNH: A Simple Method For Representation Learning On Heterophilous Graphs"

3 / 3 papers shown
Title
MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion
MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion
Manman Yuan
Weiming Jia
Xiong Luo
Jiazhen Ye
Peican Zhu
Junlin Li
59
0
0
11 Dec 2024
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
87
554
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
167
1,058
0
13 Feb 2020
1