Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization

    arXiv: Learning, 2019.

    Cited by: 54|Bibtex|Views166|Links
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    Abstract:

    Knowledge graphs capture interlinked information between entities and they represent an attractive source of structured information that can be harnessed for recommender systems. However, existing recommender engines use knowledge graphs by manually designing features, do not allow for end-to-end training, or provide poor scalability. H...More

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