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}
}