RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion

15 March 2022

Papers citing "RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion"

5 / 5 papers shown

Title
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding Jiang Li Xiangdong Su Yeyun Gong 144 0 0 20 Feb 2025
Product Knowledge Graph Embedding for E-commerce Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan 27 106 0 28 Nov 2019
A Re-evaluation of Knowledge Graph Completion Methods Zhiqing Sun Shikhar Vashishth Soumya Sanyal Partha P. Talukdar Yiming Yang 56 168 0 10 Nov 2019
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 153 4,772 0 17 Mar 2017
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 80 3,174 0 20 Dec 2014