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Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
v1v2 (latest)

Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks

Neurocomputing (Neurocomputing), 2020
21 April 2020
Chaojie Ji
Ruxin Wang
Hongyan Wu
ArXiv (abs)PDFHTML

Papers citing "Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks"

4 / 4 papers shown
Towards explainable message passing networks for predicting carbon
  dioxide adsorption in metal-organic frameworks
Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks
Ali Raza
Faaiq G. Waqar
Arni Sturluson
Cory M. Simon
Xiaoli Z. Fern
AI4CE
207
3
0
02 Dec 2020
Graph Polish: A Novel Graph Generation Paradigm for Molecular
  Optimization
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization
Chaojie Ji
Yijia Zheng
Ruxin Wang
Yunpeng Cai
Hongyan Wu
388
21
0
14 Aug 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
481
291
0
05 Jun 2020
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
540
816
0
28 Oct 2019
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