Fairness in Graph Mining: A Survey

21 April 2022

Papers citing "Fairness in Graph Mining: A Survey"

50 / 73 papers shown

Title
A Generic Framework for Conformal Fairness Aditya T. Vadlamani Anutam Srinivasan Pranav Maneriker Ali Payani Srinivasan Parthasarathy FaML FedML 262 1 0 22 May 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 190 1 0 28 Jan 2025
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 93 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 112 3 0 25 Oct 2024
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang Peng Wang Tong Zhou Yushun Dong Zhen Tan Jundong Li CoGe 90 8 0 02 Jul 2024
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 76 0 0 02 Nov 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 91 6 0 25 May 2023
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network Jian Kang Yangchun Zhu Yinglong Xia Jiebo Luo Hanghang Tong FaML 32 45 0 28 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 38 48 0 08 Feb 2022
Fair Node Representation Learning via Adaptive Data Augmentation Öykü Deniz Köse Yanning Shen 24 31 0 21 Jan 2022
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing Donald Loveland Jiayi Pan A. Bhathena Yiyang Lu 20 16 0 10 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 71 79 0 10 Jan 2022
Unbiased Graph Embedding with Biased Graph Observations Nan Wang Lu Lin Jundong Li Hongning Wang CML 39 37 0 26 Oct 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 86 121 0 11 Aug 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 68 82 0 29 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 44 22 0 09 Jun 2021
Fairness-Aware Unsupervised Feature Selection Xiaoying Xing Hongfu Liu Chen Chen Jundong Li FaML 49 14 0 04 Jun 2021
CrossWalk: Fairness-enhanced Node Representation Learning Ahmad Khajehnejad M. Khajehnejad Mahmoudreza Babaei Krishna P. Gummadi Adrian Weller Baharan Mirzasoleiman 29 45 0 06 May 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 121 233 0 21 Apr 2021
Fair Representation Learning for Heterogeneous Information Networks Huiping Zhuang Rashidul Islam Kamrun Naher Keya James R. Foulds Yangqiu Song Shimei Pan 39 41 0 18 Apr 2021
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer Maarten Buyl T. D. Bie 34 25 0 02 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 118 159 0 25 Feb 2021
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks Marlotte Pannekoek G. Spigler FedML 55 26 0 11 Feb 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 159 854 0 27 Jan 2021
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany Cornelius Fritz Emilio Dorigatti David Rügamer 27 21 0 03 Jan 2021
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 53 67 0 16 Dec 2020
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 51 140 0 14 Dec 2020
All of the Fairness for Edge Prediction with Optimal Transport Charlotte Laclau I. Redko Manvi Choudhary C. Largeron FaML 36 43 0 30 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 88 625 0 04 Oct 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 64 244 0 03 Sep 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 93 1,473 0 04 Jul 2020
Adversarial Learning for Debiasing Knowledge Graph Embeddings Mario Arduini Lorenzo Noci Federico Pirovano Ce Zhang Yash Raj Shrestha B. Paudel FaML 36 35 0 29 Jun 2020
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org Soumajyoti Sarkar Hamidreza Alvari 29 11 0 20 Jun 2020
Fair Influence Maximization: A Welfare Optimization Approach Aida Rahmattalabi S. Jabbari Himabindu Lakkaraju P. Vayanos Max Izenberg Ryan Brown Eric Rice Milind Tambe 37 49 0 14 Jun 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 87 206 0 03 Jun 2020
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks M. Khajehnejad Ahmad Asgharian Rezaei Mahmoudreza Babaei Jessica Hoffmann Mahdi Jalili Adrian Weller FaML 19 51 0 08 May 2020
Poisoning Attacks on Algorithmic Fairness David Solans Battista Biggio Carlos Castillo AAML 42 81 0 15 Apr 2020
Fairness by Learning Orthogonal Disentangled Representations Mhd Hasan Sarhan Nassir Navab Abouzar Eslami Shadi Albarqouni FaML OOD CML 63 96 0 12 Mar 2020
A Semi-supervised Graph Attentive Network for Financial Fraud Detection Daixin Wang J. Lin Peng Cui Quanhui Jia Zhen Wang Yanming Fang Quan Yu Jun Zhou Shuang Yang Yuan Qi GNN 73 350 0 28 Feb 2020
DeBayes: a Bayesian Method for Debiasing Network Embeddings Maarten Buyl T. D. Bie FaML CML 44 77 0 26 Feb 2020
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms Gourab K. Patro Arpita Biswas Niloy Ganguly Krishna P. Gummadi Abhijnan Chakraborty FaML 51 231 0 25 Feb 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 53 388 0 21 Jan 2020
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 49 311 0 14 Dec 2019
Measuring Social Bias in Knowledge Graph Embeddings Joseph Fisher Dave Palfrey Christos Christodoulopoulos Arpit Mittal FaML 44 37 0 05 Dec 2019
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare Natalia Martínez Martín Bertrán Guillermo Sapiro 39 25 0 16 Nov 2019
Fair treatment allocations in social networks James Atwood Hansa Srinivasan Yoni Halpern D. Sculley 31 15 0 01 Nov 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 44 20 0 25 Sep 2019
Pretrained AI Models: Performativity, Mobility, and Change Lav Varshney N. Keskar R. Socher 27 20 0 07 Sep 2019
Fairness in Deep Learning: A Computational Perspective Mengnan Du Fan Yang Na Zou Xia Hu FaML FedML 41 230 0 23 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 501 4,308 0 23 Aug 2019