Petar Ristoski – författare
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6 produkter
Semantic Web
18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings
Av Ruben Verborgh, Katja Hose m. fl.
Häftad, 2021
1128 kr
Lägg i varukorg
This book constitutes the refereed proceedings of the 18th International Semantic Web Conference, ESWC 2021, held virtually in June 2021.The 41 full papers and 2 short papers presented were carefully reviewed and selected from 167 submissions. The papers were submitted to three tracks: the research …
Semantic Web
18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings
Av Mehwish Alam, Petar Ristoski m. fl.
E-bok, 2021
1502 kr
Lägg i varukorg
This book constitutes the refereed proceedings of the 18th International Semantic Web Conference, ESWC 2021, held virtually in June 2021. The 41 full papers and 2 short papers presented were carefully reviewed and selected from 167 submissions. The papers were submitted to three tracks: the …
Embedding Knowledge Graphs with RDF2vec
Av Heiko Paulheim, Petar Ristoski m. fl.
Inbunden, 2023
511 kr
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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 …
Embedding Knowledge Graphs with RDF2vec
Av Jan Portisch, Petar Ristoski m. fl.
E-bok, 2023
657 kr
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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 …
Embedding Knowledge Graphs with RDF2vec
Av Heiko Paulheim, Petar Ristoski m. fl.
Häftad, 2024
511 kr
Lägg i varukorg
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 …
