Graph Fairness Learning under Distribution Shifts

30 January 2024

Papers citing "Graph Fairness Learning under Distribution Shifts"

9 / 9 papers shown

Title
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 32 0 0 23 Apr 2025
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift Oscar Blessed Deho Michael Bewong Selasi Kwashie Jiuyong Li Jixue Liu Lin Liu Srecko Joksimovic FaML 24 0 0 19 Sep 2024
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks Duna Zhan Dongliang Guo Pengsheng Ji Sheng R. Li 19 1 0 26 Apr 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao Dong Li Chen Zhao Xintao Wu Yujie Lin Qin Tian OOD 28 8 0 02 Feb 2024
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs Xingtong Yu Chang Zhou Yuan Fang Xinming Zhang 23 29 0 28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
Uncovering the Structural Fairness in Graph Contrastive Learning Ruijia Wang Xiao Wang Chuan Shi Le Song 84 31 0 06 Oct 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,337 0 12 Feb 2018