Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices

24 June 2023

Papers citing "Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices"

7 / 7 papers shown

Title
RMLR: Extending Multinomial Logistic Regression into General Geometries Ziheng Chen Yue Song Rui Wang Xiaojun Wu N. Sebe 41 2 0 28 Sep 2024
Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds Ziheng Chen Yue Song Xiao-Jun Wu N. Sebe 29 2 0 02 Jul 2024
Matrix Manifold Neural Networks++ Xuan Son Nguyen Shuo Yang A. Histace 32 5 0 29 May 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 19 3 0 25 Jan 2024
Normed Spaces for Graph Embedding Diaaeldin Taha Wei-Ye Zhao J. M. Riestenberg Michael Strube 27 1 0 03 Dec 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 52 3 0 27 Sep 2023
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016