Guanyuan Yu

CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations

Explainability plays a critical role in understanding the workings of Graph Neural Networks (GNNs). While recent methods have introduced causal inference into GNN explanation, they predominantly rely on individual-level interventions and lack rigorous statistical causality testing, resulting in unfa