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On the Global Self-attention Mechanism for Graph Convolutional Networks

On the Global Self-attention Mechanism for Graph Convolutional Networks

21 October 2020
Chen Wang
Chengyuan Deng
    GNN
ArXivPDFHTML

Papers citing "On the Global Self-attention Mechanism for Graph Convolutional Networks"

4 / 4 papers shown
Title
Triplet Interaction Improves Graph Transformers: Accurate Molecular
  Graph Learning with Triplet Graph Transformers
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain
Mohammed J. Zaki
D. Subramanian
ViT
26
5
0
07 Feb 2024
Global Self-Attention as a Replacement for Graph Convolution
Global Self-Attention as a Replacement for Graph Convolution
Md Shamim Hussain
Mohammed J. Zaki
D. Subramanian
ViT
29
121
0
07 Aug 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
169
1,078
0
13 Feb 2020
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
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