Diffusion Graph Model for Time Series Anomaly Detection via Anomaly-aware Graph Sparsification and Augmentation.
Disen Lan|Guibin Zhang|Rongjin Guo
| Anthology ID: | DBLP:conf/www/LanZG25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2207-2214 |
| URL: | https://doi.org/10.1145/3701716.3717376 |
| DOI: | https://doi.org/10.1145/3701716.3717376 |
| DBLP: | conf/www/LanZG25 |
| BibTeX: |
@inproceedings{lan-2025-diffusion,
author = {Disen Lan and
Guibin Zhang and
Rongjin Guo},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Diffusion Graph Model for Time Series Anomaly Detection via Anomaly-aware Graph Sparsification and Augmentation}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2207--2214},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717376},
doi = {https://doi.org/10.1145/3701716.3717376}
}