Multivariate Time Series Anomaly Detection Based on Reconstructed Differences Using Graph Attention Networks

Jung Mo Kang, Myoung-Ho Kim. Multivariate Time Series Anomaly Detection Based on Reconstructed Differences Using Graph Attention Networks. In Giuseppe Agapito, Anna Bernasconi 0002, Cinzia Cappiello, Hasan Ali Khattak, Inyoung Ko, Giuseppe Loseto, Michael Mrissa, Luca Nanni, Pietro Pinoli, Azzurra Ragone, Michele Ruta, Floriano Scioscia, Abhishek Srivastava 0001, editors, Current Trends in Web Engineering - ICWE 2022 International Workshops, BECS, SWEET and WALS, Bari, Italy, July 5-8, 2022, Revised Selected Papers. Volume 1668 of Communications in Computer and Information Science, pages 58-69, Springer, 2022. [doi]

Abstract

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