Training-free Graph Anomaly Detection: A Simple Approach via Singular Value Decomposition.
Cheng Zhou|Guangxia Li|Hao Weng|Yiyu Xiang
| Anthology ID: | DBLP:conf/www/ZhouLWX25 |
|---|---|
| Volume: | 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: | 4196-4205 |
| URL: | https://doi.org/10.1145/3696410.3714776 |
| DOI: | https://doi.org/10.1145/3696410.3714776 |
| DBLP: | conf/www/ZhouLWX25 |
| BibTeX: |
@inproceedings{zhou-2025-trainingfree,
author = {Cheng Zhou and
Guangxia Li and
Hao Weng and
Yiyu Xiang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Training-free Graph Anomaly Detection: A Simple Approach via Singular Value Decomposition}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {4196--4205},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714776},
doi = {https://doi.org/10.1145/3696410.3714776}
}