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The Impact of Global Structural Information in Graph Neural Networks
  Applications

The Impact of Global Structural Information in Graph Neural Networks Applications

6 June 2020
Davide Buffelli
Fabio Vandin
    AI4CE
ArXivPDFHTML

Papers citing "The Impact of Global Structural Information in Graph Neural Networks Applications"

4 / 4 papers shown
Title
TPM: Transition Probability Matrix -- Graph Structural Feature based
  Embedding
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding
Sarmad N. Mohammed
Semra Gunducc
26
1
0
07 Aug 2022
Graph Masked Autoencoders with Transformers
Graph Masked Autoencoders with Transformers
Sixiao Zhang
Hongxu Chen
Haoran Yang
Xiangguo Sun
Philip S. Yu
Guandong Xu
21
18
0
17 Feb 2022
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
1,945
0
09 Jun 2018
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