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Explaining GNN over Evolving Graphs using Information Flow

Explaining GNN over Evolving Graphs using Information Flow

19 November 2021
Yazheng Liu
Xi Zhang
Sihong Xie
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Papers citing "Explaining GNN over Evolving Graphs using Information Flow"

3 / 3 papers shown
Title
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
118
142
0
05 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
167
593
0
31 Dec 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
184
1,778
0
02 Mar 2017
1