Arman Behnam*

Graph Neural Network Causal Explanation via Neural Causal Models

"Graph neural network (GNN) explainers identify the important subgraph that ensures the prediction for a given graph. Until now, almost all GNN explainers are based on association, which is prone to spurious correlations. We propose , a GNN causal explainer via causal inference. Our explainer is bas…