On Structural Explanation of Bias in Graph Neural Networks

On Structural Explanation of Bias in Graph Neural Networks

24 June 2022

Yu-Chiang Frank Wang

Papers citing "On Structural Explanation of Bias in Graph Neural Networks"

11 / 11 papers shown

Title
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang Peng Wang Tong Zhou Yushun Dong Zhen Tan Jundong Li CoGe 56 7 0 02 Jul 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 21 2 0 16 Feb 2024
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 43 3 0 20 Oct 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 14 13 0 26 Aug 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 27 6 0 25 May 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 28 13 0 18 Jan 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Yushun Dong Binchi Zhang Yiling Yuan Na Zou Qi Wang Jundong Li 82 13 0 03 Jan 2023
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 44 21 0 25 Nov 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu-Chiang Frank Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Tyler Derr 25 80 0 07 Jun 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 595 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 335 4,223 0 23 Aug 2019