The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation

29 November 2023

Papers citing "The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation"

29 / 29 papers shown

Title
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Hanyu Wang 73 85 0 07 Jun 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 190 115 0 21 Apr 2022
Learning Fair Models without Sensitive Attributes: A Generative Approach Huaisheng Zhu Suhang Wang FaML 58 10 0 30 Mar 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 70 48 0 08 Feb 2022
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification Sean Current Yuntian He Saket Gurukar Srinivas Parthasarathy 184 15 0 27 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 94 81 0 10 Jan 2022
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 88 185 0 17 Oct 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 98 123 0 11 Aug 2021
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features Tianxiang Zhao Enyan Dai Kai Shu Suhang Wang FaML 48 57 0 29 Apr 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning Indro Spinelli Simone Scardapane Amir Hussain A. Uncini FaML 57 84 0 29 Apr 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 219 877 0 27 Jan 2021
All of the Fairness for Edge Prediction with Optimal Transport Charlotte Laclau I. Redko Manvi Choudhary C. Largeron FaML 43 43 0 30 Oct 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 70 248 0 03 Sep 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 116 337 0 23 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 73 816 0 07 Jun 2020
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection Zhiwei Liu Yingtong Dou Philip S. Yu Yutong Deng Hao Peng GNN 102 279 0 01 May 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 568 4,353 0 23 Aug 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 70 259 0 25 May 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 250 1,894 0 19 Feb 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 90 283 0 15 Jan 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,653 0 01 Oct 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 110 584 0 20 Jun 2018
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 103 442 0 01 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,247 0 07 Jun 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 228 4,312 0 07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 308 3,887 0 19 Dec 2014