Corpus ID: 13614891

Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs

@inproceedings{Tay2017NonParametricEO,
  title={Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs},
  author={Yi Tay and Anh Tuan Luu and Siu Cheung Hui},
  booktitle={AAAI},
  year={2017}
}
  • Yi Tay, Anh Tuan Luu, Siu Cheung Hui
  • Published in AAAI 2017
  • Computer Science
  • Knowledge graphs play a significant role in many intelligent systems such as semantic search and recommendation systems. Recent works in this area of knowledge graph embeddings such as TransE, TransH and TransR have shown extremely competitive and promising results in relational learning. In this paper, we propose a novel extension of the translational embedding model to solve three main problems of the current models. Firstly, translational models are highly sensitive to hyperparameters such… CONTINUE READING

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    Citations

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    Efficiently Embedding Dynamic Knowledge Graphs

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    Reliable Knowledge Graph Path Representation Learning

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