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Data-Driven Learning of Geometric Scattering Networks
v1v2v3 (latest)

Data-Driven Learning of Geometric Scattering Networks

International Workshop on Machine Learning for Signal Processing (MLSP), 2020
6 October 2020
Alexander Tong
Frederik Wenkel
Kincaid MacDonald
Smita Krishnaswamy
Guy Wolf
    GNN
ArXiv (abs)PDFHTMLGithub

Papers citing "Data-Driven Learning of Geometric Scattering Networks"

5 / 5 papers shown
InfoGain Wavelets: Furthering the Design of Graph Diffusion Wavelets
InfoGain Wavelets: Furthering the Design of Graph Diffusion Wavelets
David R. Johnson
Smita Krishnaswamy
Michael Perlmutter
DiffM
464
0
0
08 Apr 2025
Geometric Scattering on Measure Spaces
Geometric Scattering on Measure SpacesApplied and Computational Harmonic Analysis (ACHA), 2022
Joyce A. Chew
M. Hirn
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
GNN
709
23
0
17 Aug 2022
The Manifold Scattering Transform for High-Dimensional Point Cloud Data
The Manifold Scattering Transform for High-Dimensional Point Cloud Data
Joyce A. Chew
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
M. Hirn
Deanna Needell
Smita Krishnaswamy
Michael Perlmutter
3DPC
308
15
0
21 Jun 2022
Molecular Graph Generation via Geometric Scattering
Molecular Graph Generation via Geometric ScatteringInternational Workshop on Machine Learning for Signal Processing (MLSP), 2021
Dhananjay Bhaskar
Jackson D. Grady
Michal Perlmutter
Smita Krishnaswamy
GNN
275
9
0
12 Oct 2021
Understanding Graph Neural Networks with Generalized Geometric
  Scattering Transforms
Understanding Graph Neural Networks with Generalized Geometric Scattering TransformsSIAM Journal on Mathematics of Data Science (SIMODS), 2019
Michael Perlmutter
Alexander Tong
F. Gao
Guy Wolf
M. Hirn
GNN
508
14
0
14 Nov 2019
1
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