arXiv (OAI Expanded)
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Self-Explainable Multi-Label Graph Neural Network for Correlated Evidence Attribution
Multi-label graph learning intends to capture the intrinsic complexity of real-world applications, where one sample is often related to multiple groups or consists of multiple objects. To date, a handful of multi-label graph learning methods exist, but none of them integrate training-time interpreta
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