RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network

The Web Conference (WWW), 2022

28 February 2022

Papers citing "RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network"

22 / 22 papers shown

Title
Adaptive Node Feature Selection For Graph Neural Networks Ali Azizpour Madeline Navarro Santiago Segarra 72 0 0 03 Oct 2025
Fairness in Graph Learning Augmented with Machine Learning: A Survey Renqiang Luo Ziqi Xu Xinyu Zhang Qing Qing Huafei Huang Enyan Dai Zechuan Wang Bo Yang FaML 208 0 0 30 Apr 2025
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-AttentionIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025 Van Thuy Hoang Hyeon-Ju Jeon O-Joun Lee 182 3 0 21 Apr 2025
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training Qingbin Liu Xiaoqian Jiang Xuzhao Li Bohan Zhang Jing Zhang 260 0 0 12 Apr 2025
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2024 Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 272 1 0 12 Oct 2024
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks Renqiang Luo Huafei Huang Shuo Yu Zhuoyang Han Estrid He Xiuzhen Zhang Xiwei Xu 138 11 0 27 May 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2024 Arjun Subramonian Jian Kang Yizhou Sun AI4CE 131 9 0 04 Apr 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks EfficientlyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 260 9 0 26 Jan 2024
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 160 0 0 08 Dec 2023
Deceptive Fairness Attacks on Graphs via Meta LearningInternational Conference on Learning Representations (ICLR), 2023 Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 169 9 0 24 Oct 2023
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link PredictionInternational Conference on Machine Learning (ICML), 2023 Zhengyuan Yang Levent Sagun Yizhou Sun 335 6 0 29 Sep 2023
Class-Imbalanced Graph Learning without Class RebalancingInternational Conference on Machine Learning (ICML), 2023 Zhining Liu Ruizhong Qiu Zhichen Zeng Hyunsik Yoo David Zhou Zhe Xu Yada Zhu Kommy Weldemariam Jingrui He Hanghang Tong AI4CE 215 28 0 27 Aug 2023
Fairness-Aware Graph Neural Networks: A SurveyACM Transactions on Knowledge Discovery from Data (TKDD), 2023 April Chen Ryan Rossi Namyong Park Puja Trivedi Yu Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 173 25 0 08 Jul 2023
Towards Label Position Bias in Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Haoyu Han Xiaorui Liu Feng Shi MohamadAli Torkamani Charu C. Aggarwal Shucheng Zhou 167 6 0 25 May 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsEuropean Conference on Artificial Intelligence (ECAI), 2023 A. Arvindh Aakash Aanegola Amul Agrawal Ramasuri Narayanam Ponnurangam Kumaraguru 161 1 0 10 Apr 2023
On Generalized Degree Fairness in Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023 Zemin Liu Trung-Kien Nguyen Yuan Fang 142 38 0 08 Feb 2023
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 150 0 0 26 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional NetworksKnowledge Discovery and Data Mining (KDD), 2022 Jian Kang Qinghai Zhou Hanghang Tong UQCV 202 22 0 12 Oct 2022
Uncovering the Structural Fairness in Graph Contrastive LearningNeural Information Processing Systems (NeurIPS), 2022 Ruijia Wang Xiao Wang Chuan Shi Le Song 268 46 0 06 Oct 2022
On Structural Explanation of Bias in Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2022 Yushun Dong Song Wang Yu Wang Hanyu Wang Jundong Li 150 34 0 24 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and TrendsProceedings of the IEEE (Proc. IEEE), 2022 He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 292 147 0 16 May 2022
Fairness in Graph Mining: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 308 147 0 21 Apr 2022