Benchmarking graph neural networks VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson arXiv preprint arXiv:2003.00982, 2020 | 451 | 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 Duke Mathematical Journal 156 (2), 229-271, 2011 | 303 | 2011 |

Blow-up in multidimensional aggregation equations with mildly singular interaction kernels AL Bertozzi, JA Carrillo, T Laurent Nonlinearity 22 (3), 683, 2009 | 233 | 2009 |

Residual gated graph convnets X Bresson, T Laurent arXiv preprint arXiv:1711.07553, 2017 | 211 | 2017 |

An efficient graph convolutional network technique for the travelling salesman problem CK Joshi, T Laurent, X Bresson arXiv preprint arXiv:1906.01227, 2019 | 190 | 2019 |

*L*^{p} theory for the multidimensional aggregation equationAL Bertozzi, T Laurent, J Rosado Communications on Pure and Applied Mathematics 64 (1), 45-83, 2011 | 157 | 2011 |

Dimensionality of local minimizers of the interaction energy D Balagué, JA Carrillo, T Laurent, G Raoul Archive for Rational Mechanics and Analysis 209 (3), 1055-1088, 2013 | 154 | 2013 |

Finite-time blow-up of solutions of an aggregation equation in R n AL Bertozzi, T Laurent Communications in mathematical physics 274 (3), 717-735, 2007 | 139 | 2007 |

Deep linear networks with arbitrary loss: All local minima are global T Laurent, J Brecht International conference on machine learning, 2902-2907, 2018 | 127* | 2018 |

Local and global existence for an aggregation equation T Laurent Communications in Partial Differential Equations 32 (12), 1941-1964, 2007 | 119 | 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 | 110 | 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 | 96* | 2012 |

Multiclass total variation clustering X Bresson, T Laurent, D Uminsky, J Von Brecht Advances in Neural Information Processing Systems 26, 2013 | 92 | 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 | 81 | 2014 |

Convergence and energy landscape for Cheeger cut clustering X Bresson, T Laurent, D Uminsky, J Brecht Advances in Neural Information Processing Systems 25, 2012 | 66 | 2012 |

A recurrent neural network without chaos T Laurent, J von Brecht arXiv preprint arXiv:1612.06212, 2016 | 59 | 2016 |

Learning TSP requires rethinking generalization CK Joshi, Q Cappart, LM Rousseau, T Laurent arXiv preprint arXiv:2006.07054, 2020 | 53 | 2020 |

A two-step graph convolutional decoder for molecule generation X Bresson, T Laurent arXiv preprint arXiv:1906.03412, 2019 | 50 | 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 | 49 | 2013 |

The multilinear structure of ReLU networks T Laurent, J Brecht International conference on machine learning, 2908-2916, 2018 | 45 | 2018 |