A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures.
Runshuo Liu|Chao Li|Zhongying Zhao|Hui Zhou|Qingtian Zeng
| Anthology ID: | DBLP:conf/www/LiuLZZZ26 |
|---|---|
| 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: | 1310-1320 |
| URL: | https://doi.org/10.1145/3774904.3792532 |
| DOI: | https://doi.org/10.1145/3774904.3792532 |
| DBLP: | conf/www/LiuLZZZ26 |
| BibTeX: |
@inproceedings{liu-2026-dualchannel,
author = {Runshuo Liu and
Chao Li and
Zhongying Zhao and
Hui Zhou and
Qingtian Zeng},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures}},
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 = {1310--1320},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792532},
doi = {https://doi.org/10.1145/3774904.3792532}
}