Endowing Pre-trained Graph Models with Provable Fairness.
Zhongjian Zhang|Mengmei Zhang|Yue Yu|Cheng Yang|Jiawei Liu|Chuan Shi
| Anthology ID: | DBLP:conf/www/ZhangZYYLS24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1045-1056 |
| URL: | https://doi.org/10.1145/3589334.3645703 |
| DOI: | https://doi.org/10.1145/3589334.3645703 |
| DBLP: | conf/www/ZhangZYYLS24 |
| BibTeX: |
@inproceedings{zhang-2024-endowing,
author = {Zhongjian Zhang and
Mengmei Zhang and
Yue Yu and
Cheng Yang and
Jiawei Liu and
Chuan Shi},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Endowing Pre-trained Graph Models with Provable Fairness}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {1045--1056},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645703},
doi = {https://doi.org/10.1145/3589334.3645703}
}