Hermitian Symmetric Spaces for Graph Embeddings

11 May 2021

Papers citing "Hermitian Symmetric Spaces for Graph Embeddings"

9 / 9 papers shown

Title
Geoopt: Riemannian Optimization in PyTorch Max Kochurov R. Karimov Sergei Kozlukov 92 126 0 06 May 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings Ines Chami A. Wolf Da-Cheng Juan Frederic Sala Sujith Ravi Christopher Ré 58 395 0 01 May 2020
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 111 138 0 12 Nov 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 113 652 0 28 Oct 2019
Riemannian Adaptive Optimization Methods Gary Bécigneul O. Ganea ODL 116 259 0 01 Oct 2018
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry Maximilian Nickel Douwe Kiela 58 463 0 09 Jun 2018
Representation Tradeoffs for Hyperbolic Embeddings Christopher De Sa Albert Gu Christopher Ré Frederic Sala 222 413 0 10 Apr 2018
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 98 1,312 0 22 May 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 815 3,298 0 24 Nov 2016