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SkipNode: On Alleviating Performance Degradation for Deep Graph
  Convolutional Networks

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks

22 December 2021
Weigang Lu
Yibing Zhan
Binbin Lin
Ziyu Guan
Liu Liu
Baosheng Yu
Wei Zhao
Yaming Yang
Dacheng Tao
    GNN
ArXivPDFHTML

Papers citing "SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks"

3 / 3 papers shown
Title
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
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
1,945
0
09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
1