Permutation Invariant Representations with Applications to Graph Deep Learning

14 March 2022

Papers citing "Permutation Invariant Representations with Applications to Graph Deep Learning"

12 / 12 papers shown

Title
Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir Nadav Dym 48 2 0 03 Apr 2025
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network Yonatan Sverdlov Yair Davidson Nadav Dym Tal Amir 31 3 0 10 Oct 2024
Stability of sorting based embeddings Radu Balan Efstratios Tsoukanis Matthias Wellershoff 23 2 0 07 Oct 2024
$Approximation of the Proximal Operator of the $\ell_\infty$ Norm Using a Neural Network$ Approximation of the Proximal Operator of the $\ell_\infty$ Norm Using a Neural Network Kathryn Linehan Radu Balan 18 0 0 20 Aug 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 48 0 0 11 Jun 2024
Simplicity within biological complexity Nataša Pržulj N. Malod-Dognin 40 0 0 15 May 2024
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem Tal Amir S. Gortler Ilai Avni Ravi Ravina Nadav Dym 97 24 0 10 Jun 2023
Complete Neural Networks for Complete Euclidean Graphs Snir Hordan Tal Amir S. Gortler Nadav Dym 3DPC 29 5 0 31 Jan 2023
Group-invariant max filtering Jameson Cahill Joseph W. Iverson D. Mixon Dan Packer 27 21 0 27 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 21 39 0 05 May 2022
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 49 128 0 07 Oct 2021
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 14,103 0 02 Dec 2016