Unexpected Attributed Subgraphs: a Mining Algorithm. - Simon Delarue; Tiphaine Viard; Jean-Louis Dessalles (ASONAM, 2023)

Sparse Graph Neural Networks with Scikit-Network. - Simon Delarue; Thomas Bonald (COMPLEX NETWORKS (1), 2023)

Link Prediction Without Learning. - Simon Delarue; Thomas Bonald; Tiphaine Viard (ECAI, 2024)

Mapping AI ethics: a meso-scale analysis of its charters and manifestos. - Mélanie Gornet; Simon Delarue; Maria Boritchev; Tiphaine Viard (FAccT, 2024)

Evaluating graph-based explanations for AI-based recommender systems. - Simon Delarue; Astrid Bertrand; Tiphaine Viard (CoRR, 2024)

Graph as a feature: improving node classification with non-neural graph-aware logistic regression. - Simon Delarue; Thomas Bonald; Tiphaine Viard (CoRR, 2024)

Learning on graphs: from algorithms to socio-technical analyses on AI. (Apprentissage sur graphes: des algorithmes aux analyses socio-techniques de l'IA). - Simon Delarue (2025)