Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis.
Zhe Liu|Xiang Huang|Jingyun Zhang|Zhifeng Hao|Li Sun|Hao Peng
| Anthology ID: | DBLP:conf/cikm/0004HZH0024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1555-1564 |
| URL: | https://doi.org/10.1145/3627673.3679614 |
| DOI: | https://doi.org/10.1145/3627673.3679614 |
| DBLP: | conf/cikm/0004HZH0024 |
| BibTeX: |
@inproceedings{liu-2024-multivariate,
author = {Zhe Liu and
Xiang Huang and
Jingyun Zhang and
Zhifeng Hao and
Li Sun and
Hao Peng},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1555--1564},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679614},
doi = {https://doi.org/10.1145/3627673.3679614}
}