Geometric Scattering on Measure Spaces

Geometric Scattering on Measure Spaces

17 August 2022

Smita Krishnaswamy

Michael Perlmutter

Siddharth Viswanath

Papers citing "Geometric Scattering on Measure Spaces"

16 / 16 papers shown

Title
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data David R. Johnson Smita Krishnaswamy Michael Perlmutter DiffM 46 0 0 08 Apr 2025
Digital implementations of deep feature extractors are intrinsically informative Max Getter 57 0 0 20 Feb 2025
ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics Siddharth Viswanath Dhananjay Bhaskar David R. Johnson Joao F. Rocha Egbert Castro Jackson D. Grady Alex T. Grigas Michael Perlmutter Corey S. O'Hern Smita Krishnaswamy 28 1 0 27 Oct 2024
Convergence of Manifold Filter-Combine Networks David R. Johnson Joyce A. Chew Siddharth Viswanath E. Brouwer Deanna Needell Smita Krishnaswamy Michael Perlmutter 3DPC 32 0 0 18 Oct 2024
Energy Propagation in Scattering Convolution Networks Can Be Arbitrarily Slow Hartmut Führ Max Getter 25 2 0 07 Jun 2024
Multiscale Hodge Scattering Networks for Data Analysis Naoki Saito Stefan C. Schonsheck Eugene Shvarts 26 1 0 17 Nov 2023
BLIS-Net: Classifying and Analyzing Signals on Graphs Charles Xu Laney Goldman Valentina Guo Benjamin Hollander-Bodie Maedee Trank-Greene Ian M. Adelstein E. Brouwer Rex Ying Smita Krishnaswamy Michael Perlmutter 13 1 0 26 Oct 2023
Learning graph geometry and topology using dynamical systems based message-passing Dhananjay Bhaskar Yanlei Zhang Charles Xu Xingzhi Sun O. Fasina Guy Wolf Maximilian Nickel Michael Perlmutter Smita Krishnaswamy AI4CE 17 2 0 18 Sep 2023
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis Aarthi Venkat Joyce A. Chew Ferran Cardoso Rodriguez Christopher J. Tape Michael Perlmutter Smita Krishnaswamy 18 1 0 14 Sep 2023
Manifold Filter-Combine Networks Joyce A. Chew E. Brouwer Smita Krishnaswamy Deanna Needell Michael Perlmutter Michael Perlmutter GNN 20 0 0 08 Jul 2023
A Convergence Rate for Manifold Neural Networks Joyce A. Chew Deanna Needell Michael Perlmutter 19 5 0 23 Dec 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 73 53 0 01 Feb 2022
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 23 22 0 04 Feb 2021
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation Xiuyuan Cheng Nan Wu 43 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