A Convergence Rate for Manifold Neural Networks

23 December 2022

Papers citing "A Convergence Rate for Manifold Neural Networks"

5 / 5 papers shown

Title
Convolutional Neural Networks on Manifolds: From Graphs and Back Zhiyang Wang Luana Ruiz Alejandro Ribeiro 3DPC GNN 32 14 0 01 Oct 2022
Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling Boris Landa Xiuyuan Cheng 23 6 0 16 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 1,095 0 27 Apr 2021
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation Xiuyuan Cheng Nan Wu 46 29 0 25 Jan 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016