Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

11 March 2020

Papers citing "Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs"

5 / 5 papers shown

Title
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 65 0 0 02 Jan 2025
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models Julian Suk P. D. Haan Phillip Lippe Christoph Brune J. Wolterink AI4CE 40 19 0 10 Sep 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 143 289 0 05 Nov 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 231 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016