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Multi-duplicated Characterization of Graph Structures using Information
  Gain Ratio for Graph Neural Networks

Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks

24 December 2022
Yuga Oishi
Ken Kaneiwa
ArXivPDFHTML

Papers citing "Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks"

4 / 4 papers shown
Title
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
89
556
0
04 Jan 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
1,077
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
229
1,941
0
09 Jun 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
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