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2009.01454
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Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Web Search and Data Mining (WSDM), 2020
3 September 2020
Enyan Dai
Suhang Wang
FaML
Re-assign community
ArXiv (abs)
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HuggingFace (1 upvotes)
Papers citing
"Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information"
50 / 92 papers shown
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Fairness-Aware Graph Representation Learning with Limited Demographic Information
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Zhipeng Yin
L. Yang
Jun Zhuang
Rui Yu
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Wenbin Zhang
177
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FairGSE: Fairness-Aware Graph Neural Network without High False Positive Rates
Zhenqiang Ye
Jinjie Lu
T. Gu
Fengrui Hao
Xuemin Wang
86
0
0
15 Nov 2025
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
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Debolina Halder Lina
A. Silva
228
0
0
09 Nov 2025
FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance
Minh Phu Vuong
Young Ju-Lee
Iván Ojeda-Ruiz
Chul-Ho Lee
FaML
269
0
0
31 Oct 2025
Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
Yuhan Yang
Xingbo Fu
Jundong Li
AI4CE
171
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27 Oct 2025
FnRGNN: Distribution-aware Fairness in Graph Neural Network
SoYoung Park
Sungsu Lim
89
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0
22 Oct 2025
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
Yuya Sasaki
132
1
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21 Oct 2025
Improving Recommendation Fairness via Graph Structure and Representation Augmentation
Tongxin Xu
Wenqiang Liu
Chenzhong Bin
Cihan Xiao
Zhixin Zeng
Tianlong Gu
100
0
0
27 Aug 2025
Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links
Jiahua Lu
Huaxiao Liu
Shuotong Bai
Junjie Xu
Renqiang Luo
Enyan Dai
218
0
0
21 Aug 2025
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
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Chang Liu
Y. X. R. Wang
Minglai Shao
Wenjun Wang
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148
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PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
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Mostafa Haghir Chehreghani
249
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Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs
Haoran Xin
Ying Sun
Chao Wang
Yanke Yu
Weijia Zhang
Hui Xiong
FaML
177
1
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Unlearning Algorithmic Biases over Graphs
O. Deniz Kose
Gonzalo Mateos
Yanning Shen
MU
FaML
343
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Finding Counterfactual Evidences for Node Classification
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Jinwen Chen
Arijit Khan
Yan Zhao
Francesco Bonchi
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293
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Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Yezi Liu
Prathyush Poduval
Wenjun Huang
Yang Ni
Hanning Chen
Mohsen Imani
MU
302
4
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Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
IEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025
Van Thuy Hoang
Hyeon-Ju Jeon
O-Joun Lee
242
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
304
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12 Apr 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
World wide web (Bussum) (WWW), 2024
Ying Song
Balaji Palanisamy
372
4
0
28 Jan 2025
Graph Condensation: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
437
26
0
28 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
Abdullah Alchihabi
Yuhong Guo
DiffM
173
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Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation
Neural Networks (NN), 2024
Chengyu Li
Debo Cheng
Guixian Zhang
Yi Li
Shichao Zhang
377
1
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Stealing Training Graphs from Graph Neural Networks
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Minhua Lin
Enyan Dai
Junjie Xu
Jinyuan Jia
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349
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ComFairGNN: Community Fair Graph Neural Network
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024
Yonas Sium
Qi Li
394
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One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
Knowledge Discovery and Data Mining (KDD), 2024
Yuchang Zhu
Jintang Li
Yatao Bian
Zibin Zheng
Liang Chen
318
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Reproducibility study of FairAC
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Macha J. Meijer
Mark Bodracska
Harold Ruiter
270
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Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
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Kay Liu
Philip S. Yu
Jianjun Yu
453
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Algorithmic Fairness: A Tolerance Perspective
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Tao Tang
Xiwei Xu
Jiaying Liu
Chengpei Xu
Leo Yu Zhang
Wei Xiang
Chengqi Zhang
FaML
239
1
0
26 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey
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Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Mohit Bansal
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398
2
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Fairness Risks for Group-conditionally Missing Demographics
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Wenzhe Fan
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409
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PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
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Min Lin
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301
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Graph Fairness Learning under Distribution Shifts
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Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
214
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Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
246
16
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299
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Fair Graph Machine Learning under Adversarial Missingness Processes
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428
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Marginal Nodes Matter: Towards Structure Fairness in Graphs
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Xiaotian Han
Kaixiong Zhou
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Jundong Li
Fei Wang
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298
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Learning How to Propagate Messages in Graph Neural Networks
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Teng Xiao
Ruihao Zhang
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286
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0
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Promoting Fairness in GNNs: A Characterization of Stability
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217
0
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Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
International Conference on Information and Knowledge Management (CIKM), 2023
Arpit Merchant
Carlos Castillo
153
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Fairness-Aware Graph Neural Networks: A Survey
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
April Chen
Ryan Rossi
Namyong Park
Puja Trivedi
Yu Wang
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Sungchul Kim
Franck Dernoncourt
Nesreen K. Ahmed
197
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PathMLP: Smooth Path Towards High-order Homophily
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Chenxuan Xie
Jiajun Zhou
Sheng Gong
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Jiaxu Qian
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Qi Xuan
Xiaoniu Yang
182
9
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Dual Node and Edge Fairness-Aware Graph Partition
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232
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Towards Label Position Bias in Graph Neural Networks
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199
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GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
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191
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480
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Counterfactual Learning on Graphs: A Survey
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251
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Minhua Lin
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270
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