FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance.

Minh Phu Vuong|Young-Ju Lee|Iván Ojeda-Ruiz|Chul-Ho Lee


Anthology ID:DBLP:conf/cikm/VuongLOL25
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2935-2944
URL:https://doi.org/10.1145/3746252.3761320
DOI:https://doi.org/10.1145/3746252.3761320
DBLP:conf/cikm/VuongLOL25
BibTeX:
@inproceedings{vuong-2025-fairad, author = {Minh Phu Vuong and Young-Ju Lee and Iv\'{a}n Ojeda-Ruiz and Chul-Ho Lee}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {2935--2944}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761320}, doi = {https://doi.org/10.1145/3746252.3761320} }