#artificial intelligence
Feb 2026
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.
· arXiv.org · 0 citations