DAGAD: Data Augmentation for Graph Anomaly Detection

Graph anomaly detection in this paper aims to distinguish abnormal nodes that behave differently from the benign ones accounting for the majority of graph-structured instances. Receiving increasing attention from both academia and industry, yet existing research on this task still suffers from two c...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Liu, Fanzhen, Ma, Xiaoxiao, Wu, Jia, Yang, Jian, Xue, Shan, Beheshti, Amin, Zhou, Chuan, Peng, Hao, Sheng, Quan Z, Aggarwal, Charu C
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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