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Graph Neural Networks Exponentially Lose Expressive Power for Node
  Classification

Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

27 May 2019
Kenta Oono
Taiji Suzuki
    GNN
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Papers citing "Graph Neural Networks Exponentially Lose Expressive Power for Node Classification"

3 / 3 papers shown
Title
Understanding and Resolving Performance Degradation in Graph
  Convolutional Networks
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
21
88
0
12 Jun 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
184
878
0
07 Jun 2018
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
123
600
0
14 Feb 2016
1