A Graph Foundation Model for Unified Anomaly Detection.
Renda Han|Xiaobao Wang|Luzhi Wang|Wenxin Zhang|Guangzhen Yao|Hongxiang Liang
| Anthology ID: | DBLP:conf/www/HanWWZYL26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 523-534 |
| URL: | https://doi.org/10.1145/3774904.3792108 |
| DOI: | https://doi.org/10.1145/3774904.3792108 |
| DBLP: | conf/www/HanWWZYL26 |
| BibTeX: |
@inproceedings{han-2026-graph,
author = {Renda Han and
Xiaobao Wang and
Luzhi Wang and
Wenxin Zhang and
Guangzhen Yao and
Hongxiang Liang},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{A Graph Foundation Model for Unified Anomaly Detection}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {523--534},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792108},
doi = {https://doi.org/10.1145/3774904.3792108}
}