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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
ArXiv (abs)PDFHTML

Papers citing "Explaining Deep Graph Networks with Molecular Counterfactuals"

4 / 4 papers shown
Title
Knowledge Distillation-Based Model Extraction Attack using Private
  Counterfactual Explanations
Knowledge Distillation-Based Model Extraction Attack using Private Counterfactual Explanations
Fatima Ezzeddine
Omran Ayoub
Silvia Giordano
AAMLMIACV
256
0
0
04 Apr 2024
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesACM Computing Surveys (ACM CSUR), 2022
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
239
41
0
21 Oct 2022
Counterfactual Graphs for Explainable Classification of Brain Networks
Counterfactual Graphs for Explainable Classification of Brain Networks
Carlo Abrate
Francesco Bonchi
CML
124
61
0
16 Jun 2021
Counterfactual Explanation with Multi-Agent Reinforcement Learning for
  Drug Target Prediction
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
T. Nguyen
Thomas P. Quinn
Thin Nguyen
T. Tran
CMLOOD
141
11
0
24 Mar 2021
1