| Benchmarking graph neural networks VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson Mar, 2020 | 544 | 2020 |
| Global-in-time weak measure solutions and finite-time aggregation for nonlocal interaction equations JA Carrillo, M DiFrancesco, A Figalli, T Laurent, D Slepčev | 306 | 2011 |
| Residual gated graph convnets X Bresson, T Laurent arXiv preprint arXiv:1711.07553, 2017 | 241 | 2017 |
| Blow-up in multidimensional aggregation equations with mildly singular interaction kernels AL Bertozzi, JA Carrillo, T Laurent Nonlinearity 22 (3), 683, 2009 | 237 | 2009 |
| An efficient graph convolutional network technique for the travelling salesman problem CK Joshi, T Laurent, X Bresson arXiv preprint arXiv:1906.01227, 2019 | 235 | 2019 |
| Lp theory for the multidimensional aggregation equation AL Bertozzi, T Laurent, J Rosado Communications on Pure and Applied Mathematics 64 (1), 45-83, 2011 | 159 | 2011 |
| Dimensionality of local minimizers of the interaction energy D Balagué, JA Carrillo, T Laurent, G Raoul Archive for Rational Mechanics and Analysis 209, 1055-1088, 2013 | 157 | 2013 |
| Deep linear networks with arbitrary loss: All local minima are global T Laurent, J Brecht International conference on machine learning, 2902-2907, 2018 | 139 | 2018 |
| Finite-Time Blow-up of Solutions of an Aggregation Equation in R n AL Bertozzi, T Laurent Communications in mathematical physics 274, 717-735, 2007 | 139 | 2007 |
| Local and global existence for an aggregation equation T Laurent Communications in Partial Differential Equations 32 (12), 1941-1964, 2007 | 120 | 2007 |
| Nonlocal interactions by repulsive–attractive potentials: radial ins/stability D Balagué, JA Carrillo, T Laurent, G Raoul Physica D: Nonlinear Phenomena 260, 5-25, 2013 | 111 | 2013 |
| Aggregation and spreading via the Newtonian potential: The dynamics of patch solutions A Bertozzi, T Laurent, F Leger Mathematical Models and Methods in Applied Sciences 22, 2012 | 99* | 2012 |
| Multiclass total variation clustering X Bresson, T Laurent, D Uminsky, J Von Brecht Advances in Neural Information Processing Systems 26, 2013 | 98 | 2013 |
| Consistency of cheeger and ratio graph cuts NG Trillos, D Slepcev, J von Brecht, T Laurent, X Bresson arXiv preprint arXiv:1411.6590, 2014 | 87 | 2014 |
| Graph neural networks with learnable structural and positional representations VP Dwivedi, AT Luu, T Laurent, Y Bengio, X Bresson arXiv preprint arXiv:2110.07875, 2021 | 72 | 2021 |
| Convergence and energy landscape for Cheeger cut clustering X Bresson, T Laurent, D Uminsky, J Brecht Advances in Neural Information Processing Systems 25, 2012 | 67 | 2012 |
| Learning TSP requires rethinking generalization CK Joshi, Q Cappart, LM Rousseau, T Laurent 27th International Conference on Principles and Practice of Constraint …, 2021 | 66 | 2021 |
| A recurrent neural network without chaos T Laurent, J von Brecht arXiv preprint arXiv:1612.06212, 2016 | 60 | 2016 |
| A two-step graph convolutional decoder for molecule generation X Bresson, T Laurent arXiv preprint arXiv:1906.03412, 2019 | 53 | 2019 |
| A method based on total variation for network modularity optimization using the MBO scheme H Hu, T Laurent, MA Porter, AL Bertozzi SIAM Journal on Applied Mathematics 73 (6), 2224-2246, 2013 | 50 | 2013 |
Xavier BressonProf of Computer Science, National University of SingaporeZweryfikowany adres z nus.edu.sg
