Fairness in Graph Mining: A Survey

21 April 2022

Papers citing "Fairness in Graph Mining: A Survey"

50 / 54 papers shown

Title
Fairness in Graph Learning Augmented with Machine Learning: A Survey Renqiang Luo Ziqi Xu X. Zhang Qing Qing Huafei Huang Enyan Dai Z. Wang Bo Yang FaML 47 0 0 30 Apr 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 69 0 0 28 Jan 2025
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 18 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 R. Li Jundong Li Kaize Ding OOD 43 2 0 25 Oct 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks Donald Loveland Danai Koutra 21 1 0 05 Oct 2024
Promoting Fairness in Link Prediction with Graph Enhancement Yezi Liu Hanning Chen Mohsen Imani 18 0 0 13 Sep 2024
Debiasing Graph Representation Learning based on Information Bottleneck Ziyi Zhang Mingxuan Ouyang Wanyu Lin Hao Lan Lei Yang FaML 13 0 0 02 Sep 2024
Rethinking Fair Graph Neural Networks from Re-balancing Zhixun Li Yushun Dong Qiang Liu Jeffrey Xu Yu 16 0 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 38 6 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 41 0 0 24 Jun 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives Yaochen Zhu Yinhan He Jing Ma Mengxuan Hu Sheng R. Li Jundong Li CML 24 0 0 20 Jun 2024
Reproducibility study of FairAC Gijs de Jong Macha J. Meijer Derck W. E. Prinzhorn Harold Ruiter 18 0 0 05 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 51 2 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 Feng Xia 18 0 0 27 May 2024
Algorithmic Fairness: A Tolerance Perspective Renqiang Luo Tao Tang Feng Xia Jiaying Liu Chengpei Xu Leo Yu Zhang Wei Xiang Chengqi Zhang FaML 61 0 0 26 Apr 2024
FairGT: A Fairness-aware Graph Transformer Renqiang Luo Huafei Huang Shuo Yu Xiuzhen Zhang Feng Xia 21 8 0 26 Apr 2024
Fairness in Large Language Models: A Taxonomic Survey Zhibo Chu Zichong Wang Wenbin Zhang AILaw 22 5 0 31 Mar 2024
Block-Diagonal Guided DBSCAN Clustering Weibing Zhao 18 8 0 31 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su Chuan Wu AI4CE 18 0 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 28 4 0 25 Feb 2024
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks Anuj Kumar Sirohi Anjali Gupta Sayan Ranu Sandeep Kumar Amitabha Bagchi 18 1 0 20 Feb 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 6 2 0 16 Feb 2024
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering Siamak Ghodsi Seyed Amjad Seyedi Eirini Ntoutsi 13 6 0 16 Feb 2024
FairWire: Fair Graph Generation O. D. Kose Yanning Shen 16 2 0 06 Feb 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 16 2 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 11 0 0 08 Dec 2023
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation Yuchang Zhu Jintang Li Liang Chen Zibin Zheng 26 9 0 29 Nov 2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 12 0 0 02 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 13 1 0 25 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 21 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 14 0 0 23 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 19 3 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 57 55 0 19 Oct 2023
Fair Few-shot Learning with Auxiliary Sets Song Wang Jing Ma Lu Cheng Jundong Li 29 2 0 28 Aug 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 8 7 0 26 Aug 2023
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints Jia Li Yanhao Wang Arpit Merchant 27 1 0 22 Jul 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 14 6 0 08 Jul 2023
Dual Node and Edge Fairness-Aware Graph Partition Tingwei Liu Peizhao Li Hongfu Liu 11 0 0 16 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 15 5 0 08 Jun 2023
Migrate Demographic Group For Fair GNNs Yanming Hu Tianchi Liao Jialong Chen Jing Bian Zibin Zheng Chuan Chen 8 0 0 07 Jun 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 14 6 0 25 May 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 17 138 0 11 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 25 18 0 03 Apr 2023
Graph Neural Network Surrogates of Fair Graph Filtering Emmanouil Krasanakis Symeon Papadopoulos 17 1 0 14 Mar 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Yushun Dong Binchi Zhang Yiling Yuan Na Zou Qi Wang Jundong Li 47 10 0 03 Jan 2023
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu-Chiang Frank Wang Tyler Derr FaML 16 13 0 07 Dec 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 29 20 0 25 Nov 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Yuntian He Saket Gurukar Srinivas Parthasarathy FaML 10 2 0 17 Nov 2022
Balancing Utility and Fairness in Submodular Maximization (Technical Report) Yanhao Wang Yuchen Li Francesco Bonchi Ying Wang 14 4 0 02 Nov 2022
On Structural Explanation of Bias in Graph Neural Networks Yushun Dong Song Wang Yu-Chiang Frank Wang Tyler Derr Jundong Li 21 23 0 24 Jun 2022