The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.
Yuchang Zhu|Jintang Li|Liang Chen|Zibin Zheng
| Anthology ID: | DBLP:conf/wsdm/ZhuLCZ24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1012-1021 |
| URL: | https://doi.org/10.1145/3616855.3635768 |
| DOI: | https://doi.org/10.1145/3616855.3635768 |
| DBLP: | conf/wsdm/ZhuLCZ24 |
| BibTeX: |
@inproceedings{zhu-2024-devil,
author = {Yuchang Zhu and
Jintang Li and
Liang Chen and
Zibin Zheng},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {1012--1021},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635768},
doi = {https://doi.org/10.1145/3616855.3635768}
}