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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 / 94 papers shown
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Jean-Michel Loubes
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Fairness-Aware Graph Representation Learning with Limited Demographic Information
Zichong Wang
Zhipeng Yin
L. Yang
Jun Zhuang
Rui Yu
Qingzhao Kong
Wenbin Zhang
180
2
0
17 Nov 2025
FairGSE: Fairness-Aware Graph Neural Network without High False Positive Rates
Zhenqiang Ye
Jinjie Lu
T. Gu
Fengrui Hao
Xuemin Wang
107
0
0
15 Nov 2025
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
João Mattos
Debolina Halder Lina
A. Silva
233
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
276
0
0
31 Oct 2025
Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
Yuhan Yang
Xingbo Fu
Jundong Li
AI4CE
184
0
0
27 Oct 2025
FnRGNN: Distribution-aware Fairness in Graph Neural Network
SoYoung Park
Sungsu Lim
91
0
0
22 Oct 2025
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
Yuya Sasaki
136
1
0
21 Oct 2025
Improving Recommendation Fairness via Graph Structure and Representation Augmentation
Tongxin Xu
Wenqiang Liu
Chenzhong Bin
Cihan Xiao
Zhixin Zeng
Tianlong Gu
117
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
235
0
0
21 Aug 2025
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
Zengyi Wo
Chang Liu
Y. X. R. Wang
Minglai Shao
Wenjun Wang
AI4CE
156
1
0
20 Aug 2025
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
Mohammad Naeimi
Mostafa Haghir Chehreghani
250
0
0
25 Jul 2025
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs
Haoran Xin
Ying Sun
Chao Wang
Yanke Yu
Weijia Zhang
Hui Xiong
FaML
189
1
0
26 May 2025
Unlearning Algorithmic Biases over Graphs
O. Deniz Kose
Gonzalo Mateos
Yanning Shen
MU
FaML
345
0
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20 May 2025
Finding Counterfactual Evidences for Node Classification
Dazhuo Qiu
Jinwen Chen
Arijit Khan
Yan Zhao
Francesco Bonchi
CML
295
1
0
16 May 2025
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Yezi Liu
Prathyush Poduval
Wenjun Huang
Yang Ni
Hanning Chen
Mohsen Imani
MU
314
4
0
14 May 2025
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
246
4
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
324
0
0
12 Apr 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
456
27
0
28 Jan 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
381
4
0
28 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
Abdullah Alchihabi
Yuhong Guo
DiffM
174
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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
383
1
0
30 Nov 2024
Stealing Training Graphs from Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2024
Minhua Lin
Enyan Dai
Junjie Xu
Jinyuan Jia
Xiang Zhang
Suhang Wang
DiffM
361
5
0
17 Nov 2024
ComFairGNN: Community Fair Graph Neural Network
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024
Yonas Sium
Qi Li
402
0
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07 Nov 2024
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
330
11
0
19 Jun 2024
Reproducibility study of FairAC
Gijs de Jong
Macha J. Meijer
Mark Bodracska
Harold Ruiter
275
0
0
05 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
486
4
0
03 Jun 2024
Algorithmic Fairness: A Tolerance Perspective
Renqiang Luo
Tao Tang
Xiwei Xu
Jiaying Liu
Chengpei Xu
Leo Yu Zhang
Wei Xiang
Chengqi Zhang
FaML
255
1
0
26 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Mohit Bansal
AI4CE
406
2
0
23 Apr 2024
Fairness Risks for Group-conditionally Missing Demographics
Kaiqi Jiang
Wenzhe Fan
Mao Li
Xinhua Zhang
422
0
0
20 Feb 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
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Enyan Dai
Min Lin
Suhang Wang
308
3
0
06 Feb 2024
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
218
15
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30 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
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Zicun Cong
Baoxu Shi
Shan Li
Jaewon Yang
Qi He
Jian Pei
310
10
0
26 Jan 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
246
17
0
19 Dec 2023
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
Web Search and Data Mining (WSDM), 2023
Yuchang Zhu
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Zibin Zheng
299
18
0
29 Nov 2023
Fair Graph Machine Learning under Adversarial Missingness Processes
Debolina Halder Lina
Arlei Silva
434
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Marginal Nodes Matter: Towards Structure Fairness in Graphs
SIGKDD Explorations (SIGKDD Explor.), 2023
Xiaotian Han
Kaixiong Zhou
Ting-Hsiang Wang
Jundong Li
Fei Wang
Na Zou
302
2
0
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Learning How to Propagate Messages in Graph Neural Networks
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Teng Xiao
Ruihao Zhang
Xuetao Zhang
Suhang Wang
GNN
296
86
0
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Promoting Fairness in GNNs: A Characterization of Stability
Yaning Jia
Chunhui Zhang
AAML
231
0
0
07 Sep 2023
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
160
5
0
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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
Tong Yu
Sungchul Kim
Franck Dernoncourt
Nesreen K. Ahmed
204
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PathMLP: Smooth Path Towards High-order Homophily
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Jiaxu Qian
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Qi Xuan
Xiaoniu Yang
194
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Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
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Yi Nian
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217
8
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Dual Node and Edge Fairness-Aware Graph Partition
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Hongfu Liu
254
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Towards Label Position Bias in Graph Neural Networks
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200
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GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
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388
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Editable Graph Neural Network for Node Classifications
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197
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A Comprehensive Survey on Deep Graph Representation Learning
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Zheng Fang
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Counterfactual Learning on Graphs: A Survey
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431
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Fairness-Aware Graph Filter Design
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Yanning Shen
Gonzalo Mateos
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171
7
0
20 Mar 2023
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