331 citations · 665 across the 20 of their papers we have counts for
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Knowledge Graph Embedding: An Overview
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
Many mathematical models have been leveraged to design embeddings for representing Knowledge Graph (KG) entities and relations for link prediction and many downstream tasks. These…
Knowledge Graph Embedding with 3D Compound Geometric Transformations
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), leading to an effective KG embedding (KGE) model, Compound…
GreenKGC: A Lightweight Knowledge Graph Completion Method
Yun-Cheng Wang, Xiou Ge, Bin Wang +1
Knowledge graph completion (KGC) aims to discover missing relationships between entities in knowledge graphs (KGs). Most prior KGC work focuses on learning embeddings for entities…
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
Translation, rotation, and scaling are three commonly used geometric manipulation operations in image processing. Besides, some of them are successfully used in developing effectiv…