11 citations · 14 across the 3 of their papers we have counts for
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cs.AI2019
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs are useful for many artificial intelligence tasks but often have missing data. Hence, a method for completing knowledge graphs is required. Existing approaches inc…
cs.AI2019★ 2 cited
Graph Pattern Entity Ranking Model for Knowledge Graph Completion
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs have evolved rapidly in recent years and their usefulness has been demonstrated in many artificial intelligence tasks. However, knowledge graphs often have lots of…
cs.AI2017★ 11 cited
TorusE: Knowledge Graph Embedding on a Lie Group
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs are useful for many artificial intelligence (AI) tasks. However, knowledge graphs often have missing facts. To populate the graphs, knowledge graph embedding model…