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2204.09888
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Fairness in Graph Mining: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
21 April 2022
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
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Papers citing
"Fairness in Graph Mining: A Survey"
50 / 63 papers shown
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
A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
Siamak Ghodsi
Amjad Seyedi
Tai Le Quy
Fariba Karimi
Eirini Ntoutsi
129
0
0
27 Oct 2025
Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
Yuhan Yang
Xingbo Fu
Jundong Li
AI4CE
175
0
0
27 Oct 2025
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
Yuya Sasaki
133
1
0
21 Oct 2025
Estimating Fair Graphs from Graph-Stationary Data
Madeline Navarro
Andrei Buciulea
Samuel Rey
A. Marques
Santiago Segarra
189
0
0
08 Oct 2025
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
Lutz Oettershagen
Othon Michail
228
0
0
04 Oct 2025
Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs
Md Abdullah Al Mamun
Ihsen Alouani
Nael B. Abu-Ghazaleh
101
0
0
28 Aug 2025
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Shouju Wang
Yuchen Song
Shengén Li
Dongmian Zou
120
0
0
14 Aug 2025
A Generic Framework for Conformal Fairness
International Conference on Learning Representations (ICLR), 2025
Aditya T. Vadlamani
Anutam Srinivasan
Pranav Maneriker
Ali Payani
Srinivasan Parthasarathy
FaML
FedML
702
5
0
22 May 2025
Unlearning Algorithmic Biases over Graphs
O. Deniz Kose
Gonzalo Mateos
Yanning Shen
MU
FaML
344
0
0
20 May 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
256
1
0
30 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
380
4
0
28 Jan 2025
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
Shuo Yu
Yingbo Wang
Ruolin Li
Guchun Liu
Yanming Shen
Shaoxiong Ji
Bowen Li
Fengling Han
Xiuzhen Zhang
Xiwei Xu
107
5
0
03 Jan 2025
ComFairGNN: Community Fair Graph Neural Network
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024
Yonas Sium
Qi Li
401
0
0
07 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
423
11
0
25 Oct 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks
SDM (SDM), 2024
Donald Loveland
Danai Koutra
339
3
0
05 Oct 2024
Promoting Fairness in Link Prediction with Graph Enhancement
Yezi Liu
Hanning Chen
Mohsen Imani
261
9
0
13 Sep 2024
Debiasing Graph Representation Learning based on Information Bottleneck
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Ziyi Zhang
Mingxuan Ouyang
Wanyu Lin
Hao Lan
Lei Yang
FaML
267
1
0
02 Sep 2024
Rethinking Fair Graph Neural Networks from Re-balancing
Zhixun Li
Yushun Dong
Qiang Liu
Jeffrey Xu Yu
185
16
0
16 Jul 2024
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
Song Wang
Peng Wang
Tong Zhou
Yushun Dong
Zhen Tan
Jundong Li
CoGe
369
13
0
02 Jul 2024
Efficient k-means with Individual Fairness via Exponential Tilting
Shengkun Zhu
Jinshan Zeng
Yuan Sun
Sheng Wang
Xiaodong Li
Zhiyong Peng
274
0
0
24 Jun 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
Yaochen Zhu
Yinhan He
Jing Ma
Mengxuan Hu
Sheng Li
Jundong Li
CML
300
7
0
20 Jun 2024
Reproducibility study of FairAC
Gijs de Jong
Macha J. Meijer
Mark Bodracska
Harold Ruiter
271
0
0
05 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
471
4
0
03 Jun 2024
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
Renqiang Luo
Huafei Huang
Shuo Yu
Zhuoyang Han
Estrid He
Xiuzhen Zhang
Xiwei Xu
203
11
0
27 May 2024
Algorithmic Fairness: A Tolerance Perspective
Renqiang Luo
Tao Tang
Xiwei Xu
Jiaying Liu
Chengpei Xu
Leo Yu Zhang
Wei Xiang
Chengqi Zhang
FaML
246
1
0
26 Apr 2024
FairGT: A Fairness-aware Graph Transformer
Renqiang Luo
Huafei Huang
Shuo Yu
Xiuzhen Zhang
Xiwei Xu
274
24
0
26 Apr 2024
Fairness in Large Language Models: A Taxonomic Survey
Zhibo Chu
Sribala Vidyadhari Chinta
Wenbin Zhang
AILaw
261
89
0
31 Mar 2024
Block-Diagonal Guided DBSCAN Clustering
Weibing Zhao
321
16
0
31 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks
Junwei Su
Chuan Wu
AI4CE
361
3
0
07 Mar 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
298
4
0
25 Feb 2024
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks
Anuj Kumar Sirohi
Anjali Gupta
Jignesh M. Patel
Sandeep Kumar
Amitabha Bagchi
174
2
0
20 Feb 2024
On Explaining Unfairness: An Overview
Christos Fragkathoulas
Vasiliki Papanikou
Danae Pla Karidi
E. Pitoura
XAI
FaML
203
5
0
16 Feb 2024
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
Siamak Ghodsi
Seyed Amjad Seyedi
Eirini Ntoutsi
208
10
0
16 Feb 2024
FairWire: Fair Graph Generation
O. Deniz Kose
Yanning Shen
309
8
0
06 Feb 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
512
10
0
19 Dec 2023
Understanding Community Bias Amplification in Graph Representation Learning
Shengzhong Zhang
Wenjie Yang
Yimin Zhang
Hongwei Zhang
Divin Yan
Zengfeng Huang
FaML
202
0
0
08 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
Jintang Li
Liang Chen
Zibin Zheng
299
18
0
29 Nov 2023
Fair Graph Machine Learning under Adversarial Missingness Processes
Debolina Halder Lina
Arlei Silva
429
0
0
02 Nov 2023
Data Optimization in Deep Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
323
5
0
25 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning
International Conference on Learning Representations (ICLR), 2023
Jian Kang
Yinglong Xia
Ross Maciejewski
Jiebo Luo
Hanghang Tong
211
9
0
24 Oct 2023
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
298
2
0
23 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang
Yushun Dong
Chen Chen
Yada Zhu
Minnan Luo
Jundong Li
256
7
0
20 Oct 2023
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Yiqiao Jin
Mohit Chandra
Gaurav Verma
Yibo Hu
Munmun De Choudhury
Srijan Kumar
LM&MA
ELM
453
109
0
19 Oct 2023
Fair Few-shot Learning with Auxiliary Sets
European Conference on Artificial Intelligence (ECAI), 2023
Song Wang
Jing Ma
Lu Cheng
Jundong Li
166
4
0
28 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
255
28
0
26 Aug 2023
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
European Conference on Artificial Intelligence (ECAI), 2023
Jia Li
Yanhao Wang
Arpit Merchant
222
4
0
22 Jul 2023
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
198
29
0
08 Jul 2023
Dual Node and Edge Fairness-Aware Graph Partition
Tingwei Liu
Peizhao Li
Hongfu Liu
238
1
0
16 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
LOG IN (LOG IN), 2023
Donald Loveland
Jiong Zhu
Mark Heimann
Benjamin Fish
Michael T. Shaub
Danai Koutra
333
11
0
08 Jun 2023
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