Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs

25 January 2024

Papers citing "Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs"

6 / 6 papers shown

Title
Riemannian Geometry-Based EEG Approaches: A Literature Review Imad Eddine Tibermacine Samuele Russo Ahmed Tibermacine A. Rabehi B. Nail Kamel Kadri Christian Napoli 41 5 0 19 Jul 2024
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 48 32 0 29 Jun 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 222 164 0 06 Feb 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 111 315 0 25 Apr 2021
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Jia Wu Yanan Cao Bin Wang 68 90 0 23 Oct 2020