The Manifold Scattering Transform for High-Dimensional Point Cloud Data

21 June 2022

Papers citing "The Manifold Scattering Transform for High-Dimensional Point Cloud Data"

5 / 5 papers shown

Title
HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data Siddharth Viswanath Hiren Madhu Dhananjay Bhaskar Jake Kovalic Dave Johnson Rex Ying Christopher J. Tape Ian M. Adelstein Michael Perlmutter Smita Krishnaswamy 3DPC 74 1 0 11 Feb 2025
Molecular Graph Generation via Geometric Scattering Dhananjay Bhaskar Jackson D. Grady Michal Perlmutter Smita Krishnaswamy GNN 18 6 0 12 Oct 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 29 22 0 04 Feb 2021
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation Xiuyuan Cheng Nan Wu 49 29 0 25 Jan 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016