Dynamic graph contrastive learning for multivariate time series anomaly detection

Anqin Zhang; Pengzhou Chen; Yufei Gu; Ting Zhang

doi:10.1007/s11227-025-07455-9

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Dynamic graph contrastive learning for multivariate time series anomaly detection

Anqin Zhang Pengzhou Chen Yufei Gu Ting Zhang

Year: 2025 Journal: The Journal of Supercomputing Vol: 81 (8) Publisher: Springer Science+Business Media

DOI: 10.1007/s11227-025-07455-9

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Keywords:

Computer science Multivariate statistics Anomaly detection Series (stratigraphy) Graph Time series Anomaly (physics) Artificial intelligence Machine learning Data mining Theoretical computer science Geology

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Dynamic graph contrastive learning for multivariate time series anomaly detection

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