Embedding Knowledge Graphs with RDF2vec - Brossura

Paulheim, Heiko; Ristoski, Petar; Portisch, Jan

 
9783031303883: Embedding Knowledge Graphs with RDF2vec

Sinossi

This book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a graph, known as RDF2vec. The authors describe its usage in practice, from reusing pre-trained knowledge graph embeddings to training tailored vectors for a knowledge graph at hand. They also demonstrate different extensions of RDF2vec and how they affect not only the downstream performance, but also the expressivity of the resulting vector representation, and analyze the resulting vector spaces and the semantic properties they encode.

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9783031303869: Embedding Knowledge Graphs With Rdf2vec

Edizione in evidenza

ISBN 10:  3031303865 ISBN 13:  9783031303869
Casa editrice: Springer-Nature New York Inc, 2023
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