A Manifold Perspective on the Statistical Generalization of Graph Neural Networks

7 June 2024

Papers citing "A Manifold Perspective on the Statistical Generalization of Graph Neural Networks"

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
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
Transferability of Graph Neural Networks: an Extended Graphon Approach Sohir Maskey Ron Levie Gitta Kutyniok GNN 81 49 0 21 Sep 2021
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 134 123 0 17 Oct 2020
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
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