IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning

NeurIPSSpotlight2025

Authors
Xiong Zhang, Zhenli He, Changlong Fu, Cheng Xie
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Generalist Graph Anomaly Detection (GGAD) extends traditional Graph Anomaly Detection (GAD) from one-for-one to one-for-all scenarios, posing significant challenges due to Feature Space Shift (FSS) an…

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Topics

zero-shot graph

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