Convolutional Neural Networks on Manifolds: From Graphs and Back

Convolutional Neural Networks on Manifolds: From Graphs and Back

1 October 2022

Zhiyang Wang

Alejandro Ribeiro

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Papers citing "Convolutional Neural Networks on Manifolds: From Graphs and Back"

5 / 5 papers shown

Title
Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions Zhiyang Wang J. Cerviño Alejandro Ribeiro 97 4 0 08 Sep 2024
Manifold Filter-Combine Networks Joyce A. Chew E. Brouwer Smita Krishnaswamy Deanna Needell Michael Perlmutter Michael Perlmutter GNN 115 0 0 08 Jul 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back Claudio Battiloro Zhiyang Wang Hans Riess Paolo Di Lorenzo Alejandro Ribeiro 92 11 0 20 Mar 2023
A Convergence Rate for Manifold Neural Networks Joyce A. Chew Deanna Needell Michael Perlmutter 77 6 0 23 Dec 2022
Convolutional Filtering on Sampled Manifolds Zhiyang Wang Luana Ruiz Alejandro Ribeiro 86 3 0 20 Nov 2022