Hyperbolic Diffusion Embedding and Distance for Hierarchical
Representation Learning

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

30 May 2023

Ya-Wei Eileen Lin

Ronald R. Coifman

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Papers citing "Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning"

16 / 16 papers shown

Title
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 135 2 0 02 Apr 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Ya-Wei Eileen Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 209 0 0 23 Mar 2025
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Ya-Wei Eileen Lin Ronald R. Coifman Zhengchao Wan Ronen Talmon 188 3 0 28 Oct 2024
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images Chen Liu Danqi Liao Alejandro Parada-Mayorga Alejandro Ribeiro Marcello DiStasio Smita Krishnaswamy 98 5 0 04 Oct 2024
Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding Rishi Sonthalia A. Gilbert 68 51 0 08 May 2020
Scalability and robustness of spectral embedding: landmark diffusion is all you need Chao Shen Hau‐Tieng Wu 72 26 0 03 Jan 2020
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 113 652 0 28 Oct 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 89 295 0 03 Apr 2019
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry Maximilian Nickel Douwe Kiela 58 463 0 09 Jun 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 58 605 0 23 May 2018
Representation Tradeoffs for Hyperbolic Embeddings Christopher De Sa Albert Gu Christopher Ré Frederic Sala 222 413 0 10 Apr 2018
Data-Driven Tree Transforms and Metrics Zhengchao Wan Ronen Talmon Israel Cohen Ronald R. Coifman Y. Kluger 79 21 0 18 Aug 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 98 1,312 0 22 May 2017
On the Diffusion Geometry of Graph Laplacians and Applications Xiuyuan Cheng M. Rachh Stefan Steinerberger OT 43 20 0 09 Nov 2016
A cost function for similarity-based hierarchical clustering S. Dasgupta 70 195 0 16 Oct 2015
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 163 536 0 01 Oct 2013