FMP: Toward Fair Graph Message Passing against Topology Bias

FMP: Toward Fair Graph Message Passing against Topology Bias

8 February 2022

Papers citing "FMP: Toward Fair Graph Message Passing against Topology Bias"

13 / 13 papers shown

Title
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 78 0 0 28 Jan 2025
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 19 2 0 16 Feb 2024
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
Editable Graph Neural Network for Node Classifications Zirui Liu Zhimeng Jiang Shaochen Zhong Kaixiong Zhou Li Li Rui Chen Soo-Hyun Choi Xia Hu 25 6 0 24 May 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 12 13 0 06 Mar 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 31 21 0 03 Feb 2023
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 32 15 0 19 Oct 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 112 0 21 Apr 2022
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 92 107 0 05 Jul 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 329 4,223 0 23 Aug 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 254 1,811 0 25 Nov 2016