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

18 January 2023

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 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 Mohammadmehdi Naghiaei Hossein A. Rahmani M. Dehghan FaML 71 25 0 27 Feb 2022
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 83 69 0 27 Jan 2022
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 M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016