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} }