On Generalized Degree Fairness in Graph Neural Networks

8 February 2023

Papers citing "On Generalized Degree Fairness in Graph Neural Networks"

21 / 21 papers shown

Title
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Van Thuy Hoang Hyeon-Ju Jeon O-Joun Lee 27 0 0 21 Apr 2025
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training J. Liu Xiaoqian Jiang X. Li Bohan Zhang J. Zhang 32 0 0 12 Apr 2025
Norm Augmented Graph AutoEncoders for Link Prediction Yunhui Liu Huaisong Zhang Xinyi Gao Liuye Guo Zhen Tao Tieke He 43 0 0 09 Feb 2025
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 31 0 0 07 Nov 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks Donald Loveland Danai Koutra 33 1 0 05 Oct 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 50 0 0 18 Jul 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo Hong Huang Yongkang Zhou Jiping Zhang Nuo Chen 35 1 0 05 Jun 2024
Adaptive Speech Emotion Representation Learning Based On Dynamic Graph Yingxue Gao Huan Zhao Zixing Zhang 43 1 0 07 May 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks Arjun Subramonian Jian Kang Yizhou Sun AI4CE 32 4 0 04 Apr 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh V. Chawla AI4CE 18 3 0 15 Feb 2024
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 21 0 0 08 Dec 2023
Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 34 4 0 24 Oct 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
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Zhengyuan Yang Levent Sagun Yizhou Sun 27 2 0 29 Sep 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
Fairness-Aware Graph Neural Networks: A Survey April Chen Ryan A. Rossi Namyong Park Puja Trivedi Yu-Chiang Frank Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 22 9 0 08 Jul 2023
Towards Label Position Bias in Graph Neural Networks Haoyu Han Xiaorui Liu Feng Shi MohamadAli Torkamani Charu C. Aggarwal Jiliang Tang 34 4 0 25 May 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs A. Arvindh Aakash Aanegola Amul Agrawal Ramasuri Narayanam Ponnurangam Kumaraguru 16 0 0 10 Apr 2023
Residual2Vec: Debiasing graph embedding with random graphs Sadamori Kojaku Jisung Yoon I. Constantino Yong-Yeol Ahn CML 19 23 0 14 Oct 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018