Topological Neural Networks go Persistent, Equivariant, and Continuous

Topological Neural Networks go Persistent, Equivariant, and Continuous

5 June 2024

Amauri H Souza

Papers citing "Topological Neural Networks go Persistent, Equivariant, and Continuous"

9 / 9 papers shown

Title
Diss-l-ECT: Dissecting Graph Data with local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Alexander Rieck 14 0 0 03 Oct 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 47 4 0 24 May 2024
Generalization bounds for neural ordinary differential equations and deep residual networks P. Marion 19 18 0 11 May 2023
Cell Attention Networks Lorenzo Giusti Claudio Battiloro Lucia Testa P. Lorenzo S. Sardellitti Sergio Barbarossa 3DPC GNN 104 32 0 16 Sep 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 60 79 0 08 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 166 1,095 0 27 Apr 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 188 1,218 0 08 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,254 0 18 Oct 2020
Statistical topological data analysis using persistence landscapes Peter Bubenik 94 842 0 27 Jul 2012