A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural Networks

Maria Myrto Villia, Filippos Gouidis, Theodore Patkos +1

In this study, we propose a novel pipeline for generic, model-agnostic, local-level counterfactual explainability in graph neural networks (GNNs). Although counterfactual explainer…