DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection.
Xudong Zhao|Xiaolong Xu|Haolong Xiang|Tong Gao|Lianyong Qi|Amin Beheshti|Xuyun Zhang|Wanchun Dou
| Anthology ID: | DBLP:conf/www/ZhaoXXGQBZD26 |
|---|---|
| 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: | 3755-3763 |
| URL: | https://doi.org/10.1145/3774904.3792263 |
| DOI: | https://doi.org/10.1145/3774904.3792263 |
| DBLP: | conf/www/ZhaoXXGQBZD26 |
| BibTeX: |
@inproceedings{zhao-2026-dylognet,
author = {Xudong Zhao and
Xiaolong Xu and
Haolong Xiang and
Tong Gao and
Lianyong Qi and
Amin Beheshti and
Xuyun Zhang and
Wanchun Dou},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{DyLogNet: A Dynamic Multi-Relational Graph Framework for Log 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 = {3755--3763},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792263},
doi = {https://doi.org/10.1145/3774904.3792263}
}