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Embedding Knowledge Graphs with RDF2vec
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Embedding Knowledge Graphs with RDF2vec

2023 ed.

Book Details

Format Hardback or Cased Book
ISBN-10 3031303865
ISBN-13 9783031303869
Edition 2023 ed.
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 4th, 2023
Print length 158 Pages
Weight 426 grams
Dimensions 24.80 x 17.50 x 1.50 cms
Ksh 7,200.00
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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.

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