21 citations · 21 across the 1 of their papers we have counts for
4 papers
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang +2
In the active research area of employing embedding models for knowledge graph completion, particularly for the task of link prediction, most prior studies used two benchmark datase…
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Zequn Sun, Qingheng Zhang, Wei Hu +4
Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedd…
Multi-view Knowledge Graph Embedding for Entity Alignment
Qingheng Zhang, Zequn Sun, Wei Hu +3
We study the problem of embedding-based entity alignment between knowledge graphs (KGs). Previous works mainly focus on the relational structure of entities. Some further incorpora…
DSKG: A Deep Sequential Model for Knowledge Graph Completion
Lingbing Guo, Qingheng Zhang, Weiyi Ge +2
Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of . Current KG completion…