RAW-Explainer combines parameterized edge-mask learning with random-walk connectivity and a distance-biased robust evaluator to efficiently produce connected subgraph explanations for knowledge-graph link prediction.
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RAW-Explainer: Post-hoc Explanations of Graph Neural Networks on Knowledge Graphs
RAW-Explainer combines parameterized edge-mask learning with random-walk connectivity and a distance-biased robust evaluator to efficiently produce connected subgraph explanations for knowledge-graph link prediction.