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A Comparative Analysis of Bias Amplification in Graph Neural Network
  Approaches for Recommender Systems

A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems

18 January 2023
Nikzad Chizari
Niloufar Shoeibi
María N. Moreno-García
ArXivPDFHTML

Papers citing "A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems"

5 / 5 papers shown
Title
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender
  Systems: Insights and Future Research
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research
Falguni Roy
Xiaofeng Ding
K. -K. R. Choo
Pan Zhou
FaML
16
0
0
19 Sep 2024
The Unfairness of Popularity Bias in Book Recommendation
The Unfairness of Popularity Bias in Book Recommendation
Mohammadmehdi Naghiaei
Hossein A. Rahmani
M. Dehghan
FaML
71
25
0
27 Feb 2022
A Systematic Study of Bias Amplification
A Systematic Study of Bias Amplification
Melissa Hall
L. V. D. van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
86
69
0
27 Jan 2022
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
286
4,143
0
23 Aug 2019
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
1