Approximately Equivariant Graph Networks

21 August 2023

Papers citing "Approximately Equivariant Graph Networks"

9 / 9 papers shown

Title
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 37 2 0 18 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 35 3 0 23 Aug 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Martínez Joaquin Fontbona FedML MLT 29 2 0 30 May 2024
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 73 53 0 01 Feb 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 25 73 0 28 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 44 89 0 25 Feb 2021
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 120 284 0 01 May 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016