Learning Fair Node Representations with Graph Counterfactual Fairness

10 January 2022

Aidong Zhang

Papers citing "Learning Fair Node Representations with Graph Counterfactual Fairness"

31 / 31 papers shown

Title
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 105 0 0 07 Nov 2024
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 97 6 0 25 May 2023
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 166 160 0 25 Feb 2021
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 48 172 0 22 Sep 2020
Novel Human-Object Interaction Detection via Adversarial Domain Generalization Yuhang Song Wenbo Li Lei Zhang Jianwei Yang Emre Kıcıman Hamid Palangi Jianfeng Gao C.-C. Jay Kuo Pengchuan Zhang 39 5 0 22 May 2020
DeBayes: a Bayesian Method for Debiasing Network Embeddings Maarten Buyl T. D. Bie FaML CML 53 78 0 26 Feb 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations Jiawei Zhang Haopeng Zhang Congying Xia Li Sun 75 304 0 15 Jan 2020
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 66 310 0 14 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling Mayank Agarwal Ibrahim Abdelaziz Cristina Cornelio Veronika Thost Lingfei Wu Kenneth D. Forbus Achille Fokoue NAI AI4CE GNN 140 36 0 15 Nov 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 562 4,345 0 23 Aug 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 66 259 0 25 May 2019
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 103 86 0 25 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 223 4,339 0 06 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 754 8,526 0 03 Jan 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 238 7,642 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 127 2,385 0 27 Sep 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 292 2,146 0 22 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 496 1,981 0 09 Jun 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 69 337 0 22 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 197 1,385 0 22 Jan 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 85 624 0 22 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 476 20,138 0 30 Oct 2017
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 100 442 0 01 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 501 15,232 0 07 Jun 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 215 1,577 0 20 Mar 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,585 0 21 Nov 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 196 1,206 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,110 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 614 29,051 0 09 Sep 2016