Deep Dual Support Vector Data description for anomaly detection on attributed networks

Networks are ubiquitous in the real world such as social networks and communication networks, and anomaly detection on networks aims at finding nodes whose structural or attributed patterns deviate significantly from the majority of reference nodes. However, most of the traditional anomaly detection...

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Veröffentlicht in:	International journal of intelligent systems 2022-02, Vol.37 (2), p.1509-1528
Hauptverfasser:	Zhang, Fengbin, Fan, Haoyi, Wang, Ruidong, Li, Zuoyong, Liang, Tiancai
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies anomaly detection attributed networks Communication networks Data points Embedding graph neural network Hyperspheres Intelligent systems Learning Nodes one‐class classification Social networks
Online-Zugang:	Volltext
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