Learning Fair Node Representations with Graph Counterfactual Fairness.

Jing Ma|Ruocheng Guo|Mengting Wan|Longqi Yang|Aidong Zhang|Jundong Li


Anthology ID:DBLP:conf/wsdm/MaGWYZL22
Volume:WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
Year:2022
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:695-703
URL:https://doi.org/10.1145/3488560.3498391
DOI:https://doi.org/10.1145/3488560.3498391
DBLP:conf/wsdm/MaGWYZL22
BibTeX:
@inproceedings{ma-2022-learning, author = {Jing Ma and Ruocheng Guo and Mengting Wan and Longqi Yang and Aidong Zhang and Jundong Li}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{Learning Fair Node Representations with Graph Counterfactual Fairness}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {695--703}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498391}, doi = {https://doi.org/10.1145/3488560.3498391} }