Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts

Graph anomaly detection (GAD), which aims to identify nodes in a graph that significantly deviate from normal patterns, plays a crucial role in broad application domains. Existing GAD methods, whether supervised or unsupervised, are one-model-for-one-dataset approaches, i.e., training a separate mod...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Niu, Chaoxi, Qiao, Hezhe, Chen, Changlu, Chen, Ling, Pang, Guansong
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!