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Hien Chu

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#artificial intelligence Jun 2026

A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction

AlignGAD is proposed, a zero-shot generalized graph anomaly detection framework that aligns heterogeneous node features and normalizes graph signals in the spectral domain and demonstrates the effectiveness of AlignGAD under the zero-shot GAD setting.

Phan Nguyen, Dat Cao, Hien Chu et al. · arXiv.org · 0 citations