Geometric Graph Filters and Neural Networks: Limit Properties and
Discriminability Trade-offs

Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs

29 May 2023

Zhiyang Wang

Alejandro Ribeiro

Papers citing "Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs"

7 / 7 papers shown

Title
Convolutional Neural Networks on Manifolds: From Graphs and Back Zhiyang Wang Luana Ruiz Alejandro Ribeiro 3DPC GNN 32 14 0 01 Oct 2022
Learning Globally Smooth Functions on Manifolds J. Cerviño Luiz F. O. Chamon B. Haeffele René Vidal Alejandro Ribeiro 21 5 0 01 Oct 2022
Transferability of Graph Neural Networks: an Extended Graphon Approach Sohir Maskey Ron Levie Gitta Kutyniok GNN 81 49 0 21 Sep 2021
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 139 731 0 02 Mar 2020
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 on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
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