CATGX: Causal-Aware Temporal Graph Explanation via Scalable Motif Sampling and Adjustment
Experiments demonstrate that CATGX strikes a good balance to generate explanations that are faithful, grounded and confounder-aware, and outperform existing TGNN explainers in efficiency with 83x speed up.