Out-of-Distribution-Resistant Evaluations for Explanations of Graph Neural Networks
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Explainability in Graph Neural Networks (GNNs) has shown considerable promise in bolstering their trustworthiness, credibility and transparency. Our research delves into the assessment of explainability within GNNs, a pivotal factor for ensuring the reliabilit... ...
