| Rethinking graph transformers with spectral attention D Kreuzer, D Beaini, W Hamilton, V Létourneau, P Tossou Advances in Neural Information Processing Systems 34, 21618-21629, 2021 | 252 | 2021 |
| The gametic synapse: RNA transfer to the bovine oocyte AD Macaulay, I Gilbert, J Caballero, R Barreto, E Fournier, P Tossou, ... Biology of reproduction 91 (4), 90, 1-12, 2014 | 180 | 2014 |
| 3d infomax improves gnns for molecular property prediction H Stärk, D Beaini, G Corso, P Tossou, C Dallago, S Günnemann, P Liò International Conference on Machine Learning, 20479-20502, 2022 | 113 | 2022 |
| Towards interpretable sparse graph representation learning with laplacian pooling E Noutahi, D Beaini, J Horwood, S Giguère, P Tossou arXiv preprint arXiv:1905.11577, 2019 | 32 | 2019 |
| Adaptive deep kernel learning P Tossou, B Dura, F Laviolette, M Marchand, A Lacoste arXiv preprint arXiv:1905.12131, 2019 | 30 | 2019 |
| Convolutional neural networks for spectroscopic analysis in retinal oximetry DT DePaoli, P Tossou, M Parent, D Sauvageau, DC Côté Scientific reports 9 (1), 11387, 2019 | 14 | 2019 |
| MOT: a Multi-Omics Transformer for multiclass classification tumour types predictions MA Osseni, P Tossou, F Laviolette, J Corbeil BioRxiv, 2022.11. 14.516459, 2022 | 3 | 2022 |
| On the robustness of generalization of drug–drug interaction models R Kpanou, MA Osseni, P Tossou, F Laviolette, J Corbeil BMC bioinformatics 22 (1), 1-21, 2021 | 3 | 2021 |
| Applying PySCMGroup to Breast Cancer Biomarkers Discovery. MA Osseni, P Tossou, J Corbeil, F Laviolette BIOINFORMATICS, 72-82, 2021 | 2 | 2021 |
| Real-World Molecular Out-Of-Distribution: Specification and Investigation P Tossou, C Wognum, M Craig, H Mary, E Noutahi | 1 | 2023 |
| Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions T Daouda, R Chhaibi, P Tossou, AC Villani arXiv preprint arXiv:2005.07852, 2020 | 1 | 2020 |
| Improvement and validation of high precision ocular oximetry using a convolutional neural network algorithm and a phantom eye J Desroches, D DePaoli, N Lapointe, C Paulin, P Tossou, P Sauvageau, ... Acta Ophthalmologica 97, 2019 | 1 | 2019 |
| Towards Interpretable Molecular Graph Representation Learning E Noutahi, D Beani, J Horwood, P Tossou | 1 | 2019 |
| Role of Structural and Conformational Diversity for Machine Learning Potentials N Shenoy, P Tossou, E Noutahi, H Mary, D Beaini, J Ding arXiv preprint arXiv:2311.00862, 2023 | | 2023 |
| Gotta be SAFE: A New Framework for Molecular Design E Noutahi, C Gabellini, M Craig, JSC Lim, P Tossou arXiv preprint arXiv:2310.10773, 2023 | | 2023 |
| Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets D Beaini, S Huang, JA Cunha, G Moisescu-Pareja, O Dymov, ... arXiv preprint arXiv:2310.04292, 2023 | | 2023 |
| MoDTI: Modular Framework For Evaluating Inductive Biases in DTI Modeling RH Eyono, P Tossou, C Wognum, E Noutahi ICLR 2023-Machine Learning for Drug Discovery workshop, 2023 | | 2023 |
| MOT: a Multi-Omics Transformer for multiclass classification tumour types predictions O MA, P Tossou, F Laviolette, J Corbeil | | 2022 |
| 3D Pre-training improves GNNs for Molecular Property Prediction H Stärk, D Beaini, G Corso, P Tossou, C Dallago, S Günnemann, P Lio | | 2021 |
| Meta-learning for drug discovery B Dura, P Tossou, C Subakan, AI InVivo | | 2020 |
