Enhancing Graph Neural Network Explainers Using a Distribution Shift Consistency-Guided Generator
Graph Neural Network (GNN) explainers aim to identify explanatory subgraphs that provide rationales for GNNs’ predictions. Nevertheless, the distribution shift of subgraphs introduces out-of-distribution (OOD) issues into GNNs’ predictions. The OOD issues compromise explainers’ optimization, as the optimization relies...