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FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive
  Information Neutralization

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

19 March 2024
Cheng Yang
Jixi Liu
Yunhe Yan
Chuan Shi
ArXivPDFHTML

Papers citing "FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization"

3 / 3 papers shown
Title
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
Ruizhan Xue
Huimin Deng
Fang He
Maojun Wang
Zeyu Zhang
68
1
0
12 Feb 2025
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,143
0
23 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
730
0
13 Dec 2018
1