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Found 3 papers, 2 papers with code
Robust Stochastic Graph Generator for Counterfactual Explanations
Counterfactual Explanation (CE) techniques have garnered attention as a means to provide insights to the users engaging with AI systems.
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation
Due to the growing attention in graph learning, we focus on the concepts of CE for GNNs.
GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation
To present GRETEL, we show the experiments conducted to integrate and test several synthetic and real datasets with several existing explanation techniques and base ML models.
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