EviSEC combines evidential uncertainty and spectrum-aware contrastive training to detect out-of-distribution dynamic graphs, reporting strong AUROC gains over prior baselines.
In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining
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Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs
EviSEC combines evidential uncertainty and spectrum-aware contrastive training to detect out-of-distribution dynamic graphs, reporting strong AUROC gains over prior baselines.