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Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph
  Convolutional Networks

Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks

17 February 2023
Acong Zhang
Jincheng Huang
Ping Li
Kaizheng Zhang
    GNN
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Papers citing "Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks"

3 / 3 papers shown
Title
Revisiting the role of heterophily in graph representation learning: An
  edge classification perspective
Revisiting the role of heterophily in graph representation learning: An edge classification perspective
Jincheng Huang
P. Li
Ruifang Huang
Chen Na
Acong Zhang
39
13
0
23 May 2022
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