2 papers
cs.AI2021
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings
Kai Wang, Yu Liu, Dan Lin +1
Recent knowledge graph embedding (KGE) models based on hyperbolic geometry have shown great potential in a low-dimensional embedding space. However, the necessity of hyperbolic spa…
cs.CL2018
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network
Kai Wang, Yu Liu, Xiujuan Xu +1
Knowledge Graph Embedding (KGE) aims to represent entities and relations of knowledge graph in a low-dimensional continuous vector space. Recent works focus on incorporating struct…