TransET: Knowledge Graph Embedding with Entity Types
نویسندگان
چکیده
منابع مشابه
Knowledge Graph Embedding with Multiple Relation Projections
Knowledge graphs contain rich relational structures of the world, and thus complement data–driven machine learning in heterogeneous data. One of the most effective methods in representing knowledge graphs is to embed symbolic relations and entities into continuous spaces, where relations are approximately linear translation between projected images of entities in the relation space. However, st...
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Knowledge embedding, which projects triples in a given knowledge base to d-dimensional vectors, has attracted considerable research efforts recently. Most existing approaches treat the given knowledge base as a set of triplets, each of whose representation is then learned separately. However, as a fact, triples are connected and depend on each other. In this paper, we propose a graph aware know...
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ژورنال
عنوان ژورنال: Electronics
سال: 2021
ISSN: 2079-9292
DOI: 10.3390/electronics10121407