42 citations · 57 across the 3 of their papers we have counts for
3 papers
Robust Stochastic Graph Generator for Counterfactual Explanations
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo
Counterfactual Explanation (CE) techniques have garnered attention as a means to provide insights to the users engaging with AI systems. While extensively researched in domains suc…
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo +1
Graph Neural Networks (GNNs) perform well in community detection and molecule classification. Counterfactual Explanations (CE) provide counter-examples to overcome the transparency…
GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation
Mario Alfonso Prado-Romero, Giovanni Stilo
Machine Learning (ML) systems are a building part of the modern tools which impact our daily life in several application domains. Due to their black-box nature, those systems are h…