Hybrid graph transformer networks for multivariate time series anomaly detection

Rong Gao; Wei He; Lingyu Yan; Donghua Liu; Yonghong Yu; Zhiwei Ye

doi:10.1007/s11227-023-05503-w

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JOURNAL ARTICLE

Hybrid graph transformer networks for multivariate time series anomaly detection

Rong Gao Wei He Lingyu Yan Donghua Liu Yonghong Yu Zhiwei Ye

Year: 2023 Journal: The Journal of Supercomputing Vol: 80 (1)Pages: 642-669 Publisher: Springer Science+Business Media

DOI: 10.1007/s11227-023-05503-w

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Keywords:

Computer science Anomaly detection Multivariate statistics Data mining Time series Transformer Graph Pattern recognition (psychology) Artificial intelligence Algorithm Theoretical computer science Machine learning Voltage

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Hybrid graph transformer networks for multivariate time series anomaly detection

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Citation History

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