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On the Expressive Power of Sparse Geometric MPNNs

On the Expressive Power of Sparse Geometric MPNNs

2 July 2024
Yonatan Sverdlov
Nadav Dym
ArXivPDFHTML

Papers citing "On the Expressive Power of Sparse Geometric MPNNs"

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
15
2
0
07 Feb 2024
Weisfeiler Leman for Euclidean Equivariant Machine Learning
Weisfeiler Leman for Euclidean Equivariant Machine Learning
Snir Hordan
Tal Amir
Nadav Dym
36
5
0
04 Feb 2024
Three iterations of $(d-1)$-WL test distinguish non isometric clouds of $d$-dimensional points
Three iterations of (d−1)(d-1)(d−1)-WL test distinguish non isometric clouds of ddd-dimensional points
Valentino Delle Rose
A. Kozachinskiy
Cristóbal Rojas
Mircea Petrache
Pablo Barceló
21
8
0
22 Mar 2023
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
123
0
07 Oct 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
96
264
0
25 Apr 2021
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