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Explaining Deep Graph Networks with Molecular Counterfactuals

Explaining Deep Graph Networks with Molecular Counterfactuals

9 November 2020
Danilo Numeroso
D. Bacciu
ArXivPDFHTML

Papers citing "Explaining Deep Graph Networks with Molecular Counterfactuals"

2 / 2 papers shown
Title
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
31
30
0
21 Oct 2022
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
251
1,787
0
02 Mar 2017
1