Federated Graph Anomaly Detection via Disentangled Representation Learning.

Zhengyang Liu|Hang Yu|Xiangfeng Luo


Anthology ID:DBLP:conf/www/LiuYL25
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:1216-1224
URL:https://doi.org/10.1145/3696410.3714567
DOI:https://doi.org/10.1145/3696410.3714567
DBLP:conf/www/LiuYL25
BibTeX:
@inproceedings{liu-2025-federated, author = {Zhengyang Liu and Hang Yu and Xiangfeng Luo}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Federated Graph Anomaly Detection via Disentangled Representation Learning}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {1216--1224}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714567}, doi = {https://doi.org/10.1145/3696410.3714567} }