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cs.LG2024
Fair Graph Neural Network with Supervised Contrastive Regularization
Mahdi Tavassoli Kejani, Fadi Dornaika, Jean-Michel Loubes
In recent years, Graph Neural Networks (GNNs) have made significant advancements, particularly in tasks such as node classification, link prediction, and graph representation. Howe…
cs.LG2024
Debiasing Machine Learning Models by Using Weakly Supervised Learning
Renan D. B. Brotto, Jean-Michel Loubes, Laurent Risser +3
We tackle the problem of bias mitigation of algorithmic decisions in a setting where both the output of the algorithm and the sensitive variable are continuous. Most of prior work…