Towards Automated Evaluation of Explanations in Graph Neural Networks

2021/06/22 by Vanya Bk, BK, Vanya, Balaji Ganesan +7 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning in Healthcare

paper · pdf · doi:10.48550/arxiv.2106.11864

Abstract

Explaining Graph Neural Networks predictions to end users of AI applications in easily understandable terms remains an unsolved problem. In particular, we do not have well developed methods for automatically evaluating explanations, in ways that are closer to how users consume those explanations. Based on recent application trends and our own experiences in real world problems, we propose automatic evaluation approaches for GNN Explanations.

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