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...
Saved in:
Published in | Scientific programming Vol. 2020; no. 2020; pp. 1 - 10 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cairo, Egypt
Hindawi Publishing Corporation
2020
Hindawi Hindawi Limited |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!