Towards Fair Graph Neural Networks via Graph Counterfactual

Towards Fair Graph Neural Networks via Graph Counterfactual

10 July 2023

Papers citing "Towards Fair Graph Neural Networks via Graph Counterfactual"

19 / 19 papers shown

Title
Unlearning Algorithmic Biases over Graphs O. Deniz Kose Gonzalo Mateos Yanning Shen MU FaML 26 0 0 20 May 2025
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 69 1 0 25 Mar 2025
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation Chengyu Li Debo Cheng Guixian Zhang Yi Li Shichao Zhang 90 0 0 30 Nov 2024
Towards Fair Graph Representation Learning in Social Networks Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 31 0 0 15 Oct 2024
Rethinking Fair Graph Neural Networks from Re-balancing Zhixun Li Yushun Dong Qiang Liu Jeffrey Xu Yu 36 7 0 16 Jul 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives Yaochen Zhu Yinhan He Jing Ma Mengxuan Hu Sheng Li Jundong Li CML 43 3 0 20 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 71 2 0 03 Jun 2024
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks Duna Zhan Dongliang Guo Pengsheng Ji Sheng Li 29 1 0 26 Apr 2024
Fair Graph Neural Network with Supervised Contrastive Regularization M. T. Kejani Fadi Dornaika Jean-Michel Loubes 35 0 0 09 Apr 2024
FairWire: Fair Graph Generation O. Deniz Kose Yanning Shen 34 3 0 06 Feb 2024
Graph Fairness Learning under Distribution Shifts Yibo Li Xiao Wang Yujie Xing Shaohua Fan Ruijia Wang Yaoqi Liu Chuan Shi OOD 39 7 0 30 Jan 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 54 2 0 19 Dec 2023
Fairness-aware Message Passing for Graph Neural Networks Huaisheng Zhu Guoji Fu Zhimeng Guo Zhiwei Zhang Teng Xiao Suhang Wang 23 6 0 19 Jun 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 32 6 0 25 May 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 42 133 0 18 Apr 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 596 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 341 4,230 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 675 0 17 Feb 2018