2 papers
cs.LG2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression
Simon Delarue, Thomas Bonald, Tiphaine Viard
Graph Neural Networks (GNNs) and their message passing framework that leverages both structural and feature information, have become a standard method for solving graph-based machi…
cs.AI2024
Evaluating graph-based explanations for AI-based recommender systems
Simon Delarue, Astrid Bertrand, Tiphaine Viard
Recent years have witnessed a rapid growth of recommender systems, providing suggestions in numerous applications with potentially high social impact, such as health or justice. Me…