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Embedding Knowledge Graphs Rdf2vec by Paulheim Heiko (16 results)
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Embedding Knowledge Graphs with RDF2vec
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 63.46
Convert currencyUS$ 16.18 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New.
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
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Embedding Knowledge Graphs with RDF2vec
Published by Springer International Publishing, 2023
ISBN 10: 3031303865 ISBN 13: 9783031303869
Language: English
US$ 40.32
Convert currencyUS$ 52.41 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
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Embedding Knowledge Graphs with RDF2vec
Published by Springer International Publishing, Springer International Publishing Jun 2024, 2024
ISBN 10: 303130389X ISBN 13: 9783031303890
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 57.75
Convert currencyUS$ 69.89 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.
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Embedding Knowledge Graphs with RDF2vec
Published by Springer International Publishing, Springer Nature Switzerland Jun 2023, 2023
ISBN 10: 3031303865 ISBN 13: 9783031303869
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 57.75
Convert currencyUS$ 69.89 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.
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Embedding Knowledge Graphs with RDF2vec
Published by Springer International Publishing, 2024
ISBN 10: 303130389X ISBN 13: 9783031303890
Language: English
US$ 57.75
Convert currencyUS$ 71.60 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Embedding Knowledge Graphs with RDF2vec
Published by Springer International Publishing, 2023
ISBN 10: 3031303865 ISBN 13: 9783031303869
Language: English
US$ 57.75
Convert currencyUS$ 72.62 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Embedding Knowledge Graphs with RDF2vec
Published by Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 303130389X ISBN 13: 9783031303890
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 57.75
Convert currencyUS$ 26.79 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 158 pp. Englisch.
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Embedding Knowledge Graphs with RDF2vec
Published by Springer International Publishing Jun 2023, 2023
ISBN 10: 3031303865 ISBN 13: 9783031303869
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 57.75
Convert currencyUS$ 26.79 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 168 pp. Englisch.
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US$ 77.80
Convert currencyUS$ 8.78 shipping from United Kingdom to U.S.A.Quantity: 4 available
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US$ 78.64
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US$ 85.37
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Add to basketCondition: New. PRINT ON DEMAND.
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US$ 86.29
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Add to basketCondition: New. PRINT ON DEMAND.
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Embedding Knowledge Graphs with RDF2vec
Published by Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 303130389X ISBN 13: 9783031303890
Language: English
US$ 51.54
Convert currencyUS$ 57.06 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
-
Embedding Knowledge Graphs with RDF2vec
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031303865 ISBN 13: 9783031303869
Language: English
US$ 51.54
Convert currencyUS$ 57.06 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
