A Simple Baseline Algorithm for Graph Classification. - Nathan de Lara; Edouard Pineau (CoRR, 2018)

Graph Classification with Recurrent Variational Neural Networks. - Edouard Pineau; Nathan de Lara (CoRR, 2019)

Spectral Embedding of Regularized Block Models. - Nathan de Lara; Thomas Bonald (ICLR, 2020)

A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs. - Nathan de Lara; Thomas Bonald (CoRR, 2020)

Scikit-network: Graph Analysis in Python. - Thomas Bonald; Nathan de Lara; Quentin Lutz; Bertrand Charpentier (J. Mach. Learn. Res., 2020)

Algorithmic and software contributions to graph mining. (Contributions algorithmiques et logicielle à l'apprentissage automatique sur les graphes). - Nathan de Lara (2020)

Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning. - Flemming Kondrup; Thomas Jiralerspong; Elaine Lau; Nathan de Lara; Jacob Shkrob; My Duc Tran; Doina Precup; Sumana Basu (AAAI, 2023)

A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning. - Thomas Bonald; Nathan de Lara (COMPLEX NETWORKS (1), 2023)