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Comprehensive Analysis of Over-smoothing in Graph Neural Networks from
  Markov Chains Perspective

Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective

12 November 2022
Weichen Zhao
Chenguang Wang
Congying Han
Tiande Guo
ArXivPDFHTML

Papers citing "Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective"

2 / 2 papers shown
Title
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
42
0
0
23 Feb 2024
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
267
1,944
0
09 Jun 2018
1