Fairness-Aware Node Representation Learning

9 June 2021

Papers citing "Fairness-Aware Node Representation Learning"

13 / 13 papers shown

Title
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation Chengyu Li Debo Cheng Guixian Zhang Yi Li Shichao Zhang 78 0 0 30 Nov 2024
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach Yicong Li Yu Yang Jiannong Cao Shuaiqi Liu Haoran Tang Guandong Xu 37 4 0 19 Jun 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 39 4 0 19 Dec 2023
Towards Fair Graph Neural Networks via Graph Counterfactual Zhimeng Guo Jialiang Li Teng Xiao Yao Ma Suhang Wang 42 20 0 10 Jul 2023
Migrate Demographic Group For Fair GNNs Yanming Hu Tianchi Liao Jialong Chen Jing Bian Zibin Zheng Chuan Chen 19 0 0 07 Jun 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision Sungwon Han Seungeon Lee Fangzhao Wu Sundong Kim Chuhan Wu Xiting Wang Xing Xie M. Cha FaML 23 6 0 15 Mar 2023
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu-Chiang Frank Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Tyler Derr 25 80 0 07 Jun 2022
FairNorm: Fair and Fast Graph Neural Network Training Öykü Deniz Köse Yanning Shen AI4CE 16 4 0 20 May 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 112 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 34 133 0 18 Apr 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 16 48 0 08 Feb 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