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Complete Neural Networks for Complete Euclidean Graphs

Complete Neural Networks for Complete Euclidean Graphs

31 January 2023
Snir Hordan
Tal Amir
S. Gortler
Nadav Dym
    3DPC
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Papers citing "Complete Neural Networks for Complete Euclidean Graphs"

5 / 5 papers shown
Title
On the Completeness of Invariant Geometric Deep Learning Models
On the Completeness of Invariant Geometric Deep Learning Models
Zian Li
Xiyuan Wang
Shijia Kang
Muhan Zhang
31
2
0
07 Feb 2024
Neural Injective Functions for Multisets, Measures and Graphs via a
  Finite Witness Theorem
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem
Tal Amir
S. Gortler
Ilai Avni
Ravi Ravina
Nadav Dym
84
23
0
10 Jun 2023
Low Dimensional Invariant Embeddings for Universal Geometric Learning
Low Dimensional Invariant Embeddings for Universal Geometric Learning
Nadav Dym
S. Gortler
16
38
0
05 May 2022
Frame Averaging for Invariant and Equivariant Network Design
Frame Averaging for Invariant and Equivariant Network Design
Omri Puny
Matan Atzmon
Heli Ben-Hamu
Ishan Misra
Aditya Grover
Edward James Smith
Y. Lipman
FedML
33
126
0
07 Oct 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
71
185
0
19 Apr 2021
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