CrossWalk: Fairness-enhanced Node Representation Learning

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CrossWalk: Fairness-enhanced Node Representation Learning

6 May 2021

Ahmad Khajehnejad

Mahmoudreza Babaei

Krishna P. Gummadi

Baharan Mirzasoleiman

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Papers citing "CrossWalk: Fairness-enhanced Node Representation Learning"

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Title
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes Yuchang Zhu Jintang Li Yatao Bian Zibin Zheng Liang Chen 72 3 0 19 Jun 2024
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 57 4 0 18 Aug 2023
Fairness-Aware Graph Neural Networks: A Survey April Chen Ryan Rossi Namyong Park Puja Trivedi Yu Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 97 9 0 08 Jul 2023
Graph Learning with Localized Neighborhood Fairness April Chen Ryan Rossi Nedim Lipka Jane Hoffswell G. Chan Shunan Guo Eunyee Koh Sungchul Kim Nesreen K. Ahmed FaML 61 6 0 22 Dec 2022
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers Haris Mansoor Sarwan Ali Shafiq Alam Muhammad Asad Khan U. Hassan Imdadullah Khan FaML 78 5 0 01 Nov 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 80 24 0 11 May 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 214 115 0 21 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 109 144 0 18 Apr 2022
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 87 82 0 29 Jun 2021