Self-Explainable Multi-Label Graph Neural Network for Correlated Evidence Attribution
Experiments and comparisons show that SEMGNN achieves competitive or improved predictive performance while providing more faithful and compact label-conditioned explanations, compared to post-hoc methods.
Ying Feng, Yufei Tang, Min Shi et al.
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