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Awesome-Fair-Graph-Learning

Paper List for Fair Graph Learning (FairGL).
https://github.com/EdisonLeeeee/Awesome-Fair-Graph-Learning

Last synced: 1 day ago
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2024
- [arXiv
- [WWW - GAMMA/GraphPAR)
- [KDD
- [arXiv
- [arXiv - bias-exploration)
- [IJCAI
- [arXiv
- [AAAI
- [AAAI
- [AAAI
- [ICLR
- [arXiv
- [WWW
- [WWW
- [PAKDD
- [arXiv
- [AAAI - GAMMA/FairSIN)
- [arXiv
- [arXiv - graphfairness)
- [WSDM
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [KDD
- [arXiv
2020
2023
- [AAAI
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [ICLR
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [ICML, NeurIPS GLFrontiers
- [TKDE
2022
- [arXiv
- [WSDM
- [arXiv
- [TNNLS - DGNN)
- [IEEE Trans. Vis. Comput. Graph.
- [arXiv
- [WWW
- [arXiv
- [AAAI
- [arXiv
- [arXiv
- [ACM TIST
- [arXiv
- [arXiv
- [arXiv
- [KDD workshop
- [KDD
- [ICDM - gnn-fairness)
- [NeurIPS - GAMMA/Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning)
- [CIKM
- [IEEE Big Data
- [arXiv
- [NeurIPS - SLA)
- [NeurIPS
2021
- [arXiv
- [ICLR - machine-learning/FairAdj)
- [WSDM
- [NeurIPS - Generalization-Fairness)
- [UAI
- [KDD
- [ICWSM - KnowComp/Fair_HIN)
- [AISTATS
- [arXiv
- [ECML-PKDD
- [CIKM
- [NeurIPS - Petersen/fairness-post-processing)
- [ACM Trans. Intell. Syst. Technol
- [arXiv
- [arXiv
- [ACM FAccT
- [ICDM
- [ICDM
- [WWW
2019
- [IJCAI
- [ICML - Fairness-Constraints)
- [NeurIPS - Rahmattalabi/FairGraphCovering)

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