From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction

Abstract

Knowledge graph embedding aims at offering a numerical knowledge representation paradigm by transforming the entities and relations into continuous vector space. However, existing methods could not characterize the knowledge graph in a fine degree to make a precise link prediction. There are two reasons for this issue: being an ill-posed algebraic system… (More)

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Citation Velocity: 65

Averaging 65 citations per year over the last 2 years.

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Cite this paper

@inproceedings{Xiao2016FromOP, title={From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction}, author={Han Xiao and Minlie Huang and Xiaoyan Zhu}, booktitle={IJCAI}, year={2016} }