Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

7 June 2022

Papers citing "Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage"

20 / 20 papers shown

Title
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training Jiaheng Liu Xiaoqian Jiang Xuzhao Li Bohan Zhang J. Zhang 32 0 0 12 Apr 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 78 0 0 28 Jan 2025
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 57 2 0 03 Jun 2024
Graph Fairness Learning under Distribution Shifts Yibo Li Xiao Wang Yujie Xing Shaohua Fan Ruijia Wang Yaoqi Liu Chuan Shi OOD 39 7 0 30 Jan 2024
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 26 0 0 02 Nov 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 29 0 0 23 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 43 3 0 20 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Sharpness-Aware Graph Collaborative Filtering Huiyuan Chen Chin-Chia Michael Yeh Yujie Fan Yan Zheng Junpeng Wang Vivian Lai Mahashweta Das Hao Yang 31 5 0 18 Jul 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 30 6 0 08 Jun 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 27 6 0 25 May 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 26 1 0 22 Feb 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Yushun Dong Binchi Zhang Yiling Yuan Na Zou Qi Wang Jundong Li 82 13 0 03 Jan 2023
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu-Chiang Frank Wang Tyler Derr FaML 33 13 0 07 Dec 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 44 21 0 25 Nov 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems Yu-Chiang Frank Wang Yuying Zhao Yi Zhang Tyler Derr GNN 32 61 0 03 Jul 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 31 98 0 15 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 32 42 0 15 Jun 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 326 4,223 0 23 Aug 2019