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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
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Papers citing "Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem"

7 / 7 papers shown
Title
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Tal Amir
Nadav Dym
45
2
0
03 Apr 2025
LGIN: Defining an Approximately Powerful Hyperbolic GNN
LGIN: Defining an Approximately Powerful Hyperbolic GNN
Srinitish Srinivasan
Omkumar CU
AI4CE
41
0
0
31 Mar 2025
On the Expressive Power of Sparse Geometric MPNNs
On the Expressive Power of Sparse Geometric MPNNs
Yonatan Sverdlov
Nadav Dym
40
1
0
02 Jul 2024
On the Hölder Stability of Multiset and Graph Neural Networks
On the Hölder Stability of Multiset and Graph Neural Networks
Yair Davidson
Nadav Dym
41
0
0
11 Jun 2024
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
Three iterations of $(d-1)$-WL test distinguish non isometric clouds of $d$-dimensional points
Three iterations of (d−1)(d-1)-WL test distinguish non isometric clouds of dd-dimensional points
Valentino Delle Rose
A. Kozachinskiy
Cristóbal Rojas
Mircea Petrache
Pablo Barceló
27
8
0
22 Mar 2023
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,087
0
02 Dec 2016