Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding

8 May 2020

Papers citing "Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding"

12 / 12 papers shown

Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Y. Lin Ronald R. Coifman Gal Mishne Ronen Talmon 45 2 0 28 Oct 2024
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 51 0 0 25 Aug 2024
Mixed-Curvature Decision Trees and Random Forests Philippe Chlenski Quentin Chu I. Pe’er 38 1 0 07 Jun 2024
Pulling back symmetric Riemannian geometry for data analysis W. Diepeveen 29 2 0 11 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 37 3 0 06 Mar 2024
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 40 20 0 15 Jun 2023
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 53 3 0 15 Jun 2023
Principal Component Analysis in Space Forms Puoya Tabaghi Michael Khanzadeh Yusu Wang Sivash Mirarab 32 8 0 06 Jan 2023
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering Eli Chien Puoya Tabaghi O. Milenkovic 24 4 0 19 May 2022
Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions Wenjie Zheng Wenxue Wang Shu Zhao Fulan Qian 36 3 0 28 Apr 2022
Non-linear Embeddings in Hilbert Simplex Geometry Frank Nielsen Ke Sun 24 5 0 22 Mar 2022
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 32 77 0 14 Apr 2021