MST-GNN: A Multi-scale Temporal-Enhanced Graph Neural Network for Anomaly Detection in Multivariate Time Series

Zefei Ning; Zhuolun Jiang; Hao Miao; Li Wang

doi:10.1007/978-3-031-25158-0_29

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MST-GNN: A Multi-scale Temporal-Enhanced Graph Neural Network for Anomaly Detection in Multivariate Time Series

Zefei Ning Zhuolun Jiang Hao Miao Li Wang

Year: 2023 Lecture notes in computer science Pages: 382-390 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-25158-0_29

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Keywords:

Anomaly detection Computer science Multivariate statistics Artificial intelligence Pattern recognition (psychology) Time series Graph Series (stratigraphy) Artificial neural network Representation (politics) Data mining Anomaly (physics) Machine learning Theoretical computer science

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Topics

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Complex Systems and Time Series Analysis

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

MST-GNN: A Multi-scale Temporal-Enhanced Graph Neural Network for Anomaly Detection in Multivariate Time Series

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Citation History

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