| A simple baseline algorithm for graph classification N de Lara, E Pineau arXiv preprint arXiv:1810.09155, 2018 | 69 | 2018 |
| Scikit-network: Graph analysis in python T Bonald, N De Lara, Q Lutz, B Charpentier Journal of Machine Learning Research 21 (185), 1-6, 2020 | 60 | 2020 |
| Spectral embedding of regularized block models N De Lara, T Bonald arXiv preprint arXiv:1912.10903, 2019 | 6 | 2019 |
| Variational recurrent neural networks for graph classification E Pineau, N de Lara arXiv preprint arXiv:1902.02721, 2019 | 6* | 2019 |
| The Forward-Backward Embedding of Directed Graphs T Bonald, N De Lara | 2 | 2018 |
| The sparse+ low rank trick for matrix factorization-based graph algorithms N De Lara Proceedings of the 15th International Workshop on Mining and Learning with …, 2019 | 1 | 2019 |
| Sparsely observed agent-based systems: a generative model for instantaneous crowd modeling N de Lara, S Blandin International Conference on Autonomous Agents and MultiAgent Systems, Singapore, 2016 | 1 | 2016 |
| Check for updates A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning T Bonald, N De Lara Complex Networks & Their Applications XII: Proceedings of The Twelfth …, 0 | 1* | |
| Algorithmic and software contributions to graph mining N De Lara Institut polytechnique de Paris, 2020 | | 2020 |
Thomas BonaldTelecom ParisVahvistettu sähköpostiosoite verkkotunnuksessa telecom-paris.fr
