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Xinyu Zhao

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Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts

This work proposes GAD-MoRE, a novel framework for zero-shot Generalizable Graph Anomaly Detection with a Mixture of Riemannian Experts architecture, which significantly outperforms state-of-the-art generalist GAD baselines in the zero-shot setting.

Xinyu Zhao, Qingyun Sun, Jiayi Luo et al. · 0 citations

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