3 papers
cs.LG2026
Homophily-aware Supervised Contrastive Counterfactual Augmented Fair Graph Neural Network
Mahdi Tavassoli Kejani, Fadi Dornaika, Charlotte Laclau +1
In recent years, Graph Neural Networks (GNNs) have achieved remarkable success in tasks such as node classification, link prediction, and graph representation learning. However, th…
cs.LG2025
Model-Agnostic Fairness Regularization for GNNs with Incomplete Sensitive Information
Mahdi Tavassoli Kejani, Fadi Dornaika, Jean-Michel Loubes
Graph Neural Networks (GNNs) have demonstrated exceptional efficacy in relational learning tasks, including node classification and link prediction. However, their application rais…
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…