arXiv AI August 17, 2026 By Taraneh Younesian, Steve Azzolin, Antonio Longa, Francesco Ferrini, Vincenzo Marco De Luca, Stefano Teso

Overcoming Shortcut Learning in Graph Neural Networks through Active Explanation Guidance

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arXiv:2608. 14121v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) can solve prediction tasks by unintentionally exploiting shortcuts---that is, edges, nodes, and features that correlate with but are not causal for the prediction---which compromise their reliability in out-of-distribution tasks.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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