iQ-Guard: An Effective and Noise-Resistant Framework for Graph Fraud Detection on iQIYI Platform.
Yuting Huang|Ziquan Fang|Zhengjie Zhou|Tinghui Luo|Lu Chen|Surun Ji|Huimei Zheng|Mingfan Lu|Fangshu Chen|Yunjun Gao
| Anthology ID: | DBLP:conf/www/HuangFZLCJZLCG26 |
|---|---|
| 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: | 7943-7954 |
| URL: | https://doi.org/10.1145/3774904.3792837 |
| DOI: | https://doi.org/10.1145/3774904.3792837 |
| DBLP: | conf/www/HuangFZLCJZLCG26 |
| BibTeX: |
@inproceedings{huang-2026-iqguard,
author = {Yuting Huang and
Ziquan Fang and
Zhengjie Zhou and
Tinghui Luo and
Lu Chen and
Surun Ji and
Huimei Zheng and
Mingfan Lu and
Fangshu Chen and
Yunjun Gao},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{iQ-Guard: An Effective and Noise-Resistant Framework for Graph Fraud Detection on iQIYI Platform}},
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 = {7943--7954},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792837},
doi = {https://doi.org/10.1145/3774904.3792837}
}