Representation Learning of Knowledge Graphs with Embedding Subspaces

Most of the existing knowledge graph embedding models are supervised methods and largely relying on the quality and quantity of obtainable labelled training data. The cost of obtaining high quality triples is high and the data sources are facing a serious problem of data sparsity, which may result i...

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Bibliographic Details
Published inScientific programming Vol. 2020; no. 2020; pp. 1 - 10
Main Authors Cui, Zhiming, Ai, Xusheng, Xian, Xuefeng, Li, Chunhua
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 2020
Hindawi
Hindawi Limited
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