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Embedding Knowledge Graphs with RDF2vec

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Springer, June 2023
This book explains the ideas behind one of the most well-known methods for knowledge graph embedding... Full description
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53.58
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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. 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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About the book

Full name Embedding Knowledge Graphs with RDF2vec
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2023
EAN 9783031303876
Libristo code 44988624
Publishers Springer
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