Fair Representation Learning for Heterogeneous Information Networks

18 April 2021

Papers citing "Fair Representation Learning for Heterogeneous Information Networks"

24 / 24 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 186 1 0 09 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 93 0 0 26 Apr 2025
Fairness Amidst Non-IID Graph Data: A Literature Review Wenbin Zhang Shimei Pan Shuigeng Zhou T. Walsh FaML OOD 107 29 0 28 Jan 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 253 1 0 28 Jan 2025
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 139 2 0 03 Jun 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh Chawla Wenlin Yao 104 8 0 17 May 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation Neng Kai Nigel Neo Yeon-Chang Lee Yiqiao Jin Sang-Wook Kim Srijan Kumar 93 2 0 25 Feb 2024
Graph Fairness Learning under Distribution Shifts Yibo Li Xiao Wang Yujie Xing Shaohua Fan Ruijia Wang Yaoqi Liu Chuan Shi OOD 79 8 0 30 Jan 2024
Fairness-aware Optimal Graph Filter Design O. Deniz Kose Yanning Shen Gonzalo Mateos FaML 79 4 0 22 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 99 3 0 20 Oct 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness Nan Cui Xiuling Wang Wendy Hui Wang Violet Chen Yue Ning FedML 60 3 0 18 Oct 2023
Bias Propagation in Federated Learning Hong Chang Reza Shokri FedML 71 13 0 05 Sep 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
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao Zhikai Chen Wei Jin Haoyu Han Yao Ma Tong Zhao Neil Shah Jiliang Tang 118 36 0 02 Jun 2023
FairGAT: Fairness-aware Graph Attention Networks Öykü Deniz Köse Yanning Shen 80 9 0 26 Mar 2023
On Generalized Degree Fairness in Graph Neural Networks Zemin Liu Trung-Kien Nguyen Yuan Fang 74 28 0 08 Feb 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 67 14 0 18 Jan 2023
Mitigating Relational Bias on Knowledge Graphs Yu-Neng Chuang Kwei-Herng Lai Ruixiang Tang Mengnan Du Chia-Yuan Chang Na Zou Helen Zhou FaML 84 5 0 26 Nov 2022
FairNorm: Fair and Fast Graph Neural Network Training Öykü Deniz Köse Yanning Shen AI4CE 58 4 0 20 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
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 96 17 0 07 Feb 2022
Fair Node Representation Learning via Adaptive Data Augmentation Öykü Deniz Köse Yanning Shen 45 31 0 21 Jan 2022
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 98 82 0 29 Jun 2021