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GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph
  Heterophily

GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily

25 June 2023
Shuaicheng Zhang
Haohui Wang
Si Zhang
Dawei Zhou
ArXivPDFHTML

Papers citing "GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily"

4 / 4 papers shown
Title
A Survey of Visual Transformers
A Survey of Visual Transformers
Yang Liu
Yao Zhang
Yixin Wang
Feng Hou
Jin Yuan
Jiang Tian
Yang Zhang
Zhongchao Shi
Jianping Fan
Zhiqiang He
3DGS
ViT
66
325
0
11 Nov 2021
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
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
828
0
28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
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
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