Efficient Fair Graph Representation Learning Using a Multi-level Framework.
Yuntian He|Saket Gurukar|Srinivasan Parthasarathy
| Anthology ID: | DBLP:conf/www/HeG023 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 298-301 |
| URL: | https://doi.org/10.1145/3543873.3587369 |
| DOI: | https://doi.org/10.1145/3543873.3587369 |
| DBLP: | conf/www/HeG023 |
| BibTeX: |
@inproceedings{he-2023-efficient,
author = {Yuntian He and
Saket Gurukar and
Srinivasan Parthasarathy},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Efficient Fair Graph Representation Learning Using a Multi-level Framework}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {298--301},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543873.3587369},
doi = {https://doi.org/10.1145/3543873.3587369}
}