Open access
Sep 2026
On the Minimization of Graph Counterfactual Explanations: Theory and a Local Bounded Search Algorithm
Graph counterfactual explainability (GCE) addresses the interpretability limitations of opaque machine learning models on graph-structured data by producing graph counterfactuals (GCs): alternative graphs that remain maximally similar to a given instance while inducing a different model prediction. State-of-the-art GCE...
Rodrigo García, Mario Alfonso Prado-Romero, Francesco Gullo et al.
· Machine-mediated learning · 1 citation