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Dynamic graph-based graph attention network for anomaly detection in industrial multivariate time series data

Published Online: 2025-03-10

Published Print: 2025-05

Authors

Gao, Cong

Ma, Hongye https://orcid.org/0009-0004-4356-2684
Pei, Qingqi

Chen, Yanping
Funding

Funding for this research was provided by:

Key Science and Technology Program of Shaanxi Province (2023-YBGY-211)

Education Department of Shaanxi Province (21JP115)

Scientific Research Program of the Science and Technology Bureau of Xi’an (22GXFW0129)

Scientific Research Program of the Science and Technology Bureau of Yulin (CXY-2022-162)

Youth Innovation Team of Shaanxi Universities "Industrial Big Data Analysis and Intelligent Processing (2020-21)
License Information

Text and Data Mining valid from 2025-03-10

Version of Record valid from 2025-03-10
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Article History

Accepted: 23 February 2025

First Online: 10 March 2025

Declarations

:

: This article does not contain any studies with human participants or animals performed by any of the authors.

: Informed consent was obtained from all individual participants included in the study.

: All authors have informed and agreed to publish this research.

: The authors declare no competing interests.

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