HIGHLIGHTS
- who: Yuxun Lu and Ryutaro Ichise from the Department of Informatics, School of Multidisciplinary Sciences, The Graduate University for Advanced National Institute of Informatics, Tokyo, Japan have published the paper: ProtoE: Enhancing Knowledge Graph Completion Models with Unsupervised Type Representation Learning, in the Journal: Information 2022, 13, 354. of 24/05/2022
- what: The authors propose ProtoE an unsupervised method for learning implicit type and type constraint representations. The aim of this change is to keep the role of f base and g consistent.
- how: Details of these two observations are described below . . .
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