Edge conditional node update graph neural network for multivariate time series anomaly detection-Reference-Cited by-同舟云学术

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Edge conditional node update graph neural network for multivariate time series anomaly detection

Published:2024-09 Issue: Volume:679 Page:121062
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Jo Hayoung^ORCID,Lee Seong-Whan

Funder

IITP

Publisher

Elsevier BV

Reference48 articles.

1. Graph neural networks for anomaly detection in industrial Internet of things;Wu;IEEE Int. Things J.,2021

2. Varying-scale hca-dbscan-based anomaly detection method for multi-dimensional energy data in steel industry;Jin;Inf. Sci.,2023

3. The detection of low-rate dos attacks using the sadbscan algorithm;Tang;Inf. Sci.,2021

4. Random partitioning forest for point-wise and collective anomaly detection—application to network intrusion detection;Marteau;IEEE Trans. Inf. Forensics Secur.,2021

5. Pdae: efficient network intrusion detection in iot using parallel deep auto-encoders;Basati;Inf. Sci.,2022

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