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Learnable Filters for Geometric Scattering Modules

Learnable Filters for Geometric Scattering Modules

15 August 2022
Alexander Tong
Frederik Wenkel
Dhananjay Bhaskar
Kincaid MacDonald
Jackson D. Grady
Michael Perlmutter
Smita Krishnaswamy
Guy Wolf
ArXivPDFHTML

Papers citing "Learnable Filters for Geometric Scattering Modules"

3 / 3 papers shown
Title
Scattering Networks on the Sphere for Scalable and Rotationally
  Equivariant Spherical CNNs
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
Jason D. McEwen
C. Wallis
Augustine N. Mavor-Parker
31
22
0
04 Feb 2021
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
193
1,778
0
02 Mar 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
1