Fair Contrastive Learning on Graphs-Reference-Cited by-同舟云学术

Fair Contrastive Learning on Graphs

Published:2022 Issue: Volume:8 Page:475-488
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Kose Oyku Deniz¹^ORCID,Shen Yanning¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA

Funder

Google Research Scholar Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Link

Reference50 articles.

1. Counterfactual fairness;kusner;Adv Neural Inf Process Syst,2017

2. Distance metric learning for large margin nearest neighbor classification;weinberger;J Mach Learn Res,2009

3. Fair node representation learning via adaptive data augmentation;kose,2022

4. On dyadic fairness: Exploring and mitigating bias in graph connections;li;Proc Int Conf Learn Representations,0

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