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Data-Driven Learning of Geometric Scattering Networks
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Data-Driven Learning of Geometric Scattering Networks

Alexander Tong
Frederik Wenkel
Kincaid MacDonald
Smita Krishnaswamy
Guy Wolf
    GNN
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Papers citing "Data-Driven Learning of Geometric Scattering Networks"

5 / 5 papers shown
Title
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data
David R. Johnson
Smita Krishnaswamy
Michael Perlmutter
DiffM
94
0
0
08 Apr 2025
Geometric Scattering on Measure Spaces
Geometric Scattering on Measure Spaces
Joyce A. Chew
M. Hirn
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
GNN
226
19
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
65
13
0
21 Jun 2022
Molecular Graph Generation via Geometric Scattering
Molecular Graph Generation via Geometric Scattering
Dhananjay Bhaskar
Jackson D. Grady
Michal Perlmutter
Smita Krishnaswamy
GNN
71
6
0
12 Oct 2021
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms
Michael Perlmutter
Alexander Tong
F. Gao
Guy Wolf
M. Hirn
GNN
66
10
0
14 Nov 2019