Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings

27 March 2021

Papers citing "Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings"

4 / 4 papers shown

Title
Knowledge Graph Embedding with 3D Compound Geometric Transformations Xiou Ge Yun Cheng Wang Bin Wang C.-C. Jay Kuo 32 6 0 01 Apr 2023
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding Borui Cai Yong Xiang Longxiang Gao Di Wu Heng Zhang Jiongdao Jin Tom H. Luan 34 1 0 22 Mar 2023
Ultrahyperbolic Knowledge Graph Embeddings Bo Xiong Shichao Zhu M. Nayyeri Chengjin Xu Shirui Pan Chuan Zhou Steffen Staab 24 31 0 01 Jun 2022
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings Kai Wang Yu Liu Quan.Z Sheng 25 18 0 03 Jan 2022