Zefei Ning, Zhuolun Jiang, Hao Miao, Li Wang. MST-GNN: A Multi-scale Temporal-Enhanced Graph Neural Network for Anomaly Detection in Multivariate Time Series. In Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa, editors, Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part I. Volume 13421 of Lecture Notes in Computer Science, pages 382-390, Springer, 2022. [doi]
@inproceedings{NingJMW22,
title = {MST-GNN: A Multi-scale Temporal-Enhanced Graph Neural Network for Anomaly Detection in Multivariate Time Series},
author = {Zefei Ning and Zhuolun Jiang and Hao Miao and Li Wang},
year = {2022},
doi = {10.1007/978-3-031-25158-0_29},
url = {https://doi.org/10.1007/978-3-031-25158-0_29},
researchr = {https://researchr.org/publication/NingJMW22},
cites = {0},
citedby = {0},
pages = {382-390},
booktitle = {Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part I},
editor = {Bohan Li and Lin Yue and Chuanqi Tao and Xuming Han and Diego Calvanese and Toshiyuki Amagasa},
volume = {13421},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-25158-0},
}