Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach

9 June 2021

Papers citing "Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach"

6 / 6 papers shown

Title
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Y. Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 37 0 0 23 Mar 2025
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations Saee Paliwal Angus Brayne Benedek Fabian Maciej Wiatrak Aaron Sim 11 0 0 02 Dec 2022
Non-linear Embeddings in Hilbert Simplex Geometry Frank Nielsen Ke Sun 19 5 0 22 Mar 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 59 23 0 02 Feb 2022
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices F. López Beatrice Pozzetti Steve J. Trettel Michael Strube Anna Wienhard 33 17 0 26 Oct 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016