Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.

Yunhui Liu|Qizhuo Xie|Yinfeng Chen|Xudong Jin|Tao Zheng|Bin Chong|Tieke He


Anthology ID:DBLP:conf/www/LiuXCJZCH26
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:1127-1138
URL:https://doi.org/10.1145/3774904.3792454
DOI:https://doi.org/10.1145/3774904.3792454
DBLP:conf/www/LiuXCJZCH26
BibTeX:
@inproceedings{liu-2026-mitigating, author = {Yunhui Liu and Qizhuo Xie and Yinfeng Chen and Xudong Jin and Tao Zheng and Bin Chong and Tieke He}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach}}, 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 = {1127--1138}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792454}, doi = {https://doi.org/10.1145/3774904.3792454} }