Isbn: 9783031161735 - advances in graph neural networks (synthesis lectures on data mining and knowledge discovery) (9 resultados)

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  • Idioma: Inglés

    Editorial: Springer, 2022

    3031161734 / 9783031161735

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: Nuevo

    EUR 90,87

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    Cantidad disponible: 4 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031161734 / 9783031161735

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 71,47

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    Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. The authors emphasize several frontier aspects of graph neural networks and utilize graph data to describe pairwise relations for real-world data from many different domains, including social science, chemistry, and biology. Several frontiers of graph neural networks are introduced, which enable readers to acquire the needed techniques of advances in graph neural networks via theoretical models and real-world applications.…

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031161734 / 9783031161735

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    Librería: Buchpark, Trebbin, AlemaniaBuchpark

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    Condición: Usado

    EUR 34,80

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    Cantidad disponible: 1 disponible

    Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. The authors emphasize several frontier aspects of graph neural networks and utilize graph data to describe pairwise relations for real-world data from many different domains, including social science, chemistry, and biology. Several frontiers of graph neural networks are introduced, which enable readers to acquire the needed techniques of advances in graph neural networks via theoretical models and real-world applications.…

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031161734 / 9783031161735

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    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    EUR 54,23

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    Condición: new. Questo è un articolo print on demand.

  • Idioma: Inglés

    Editorial: Springer International Publishing, Springer Nature Switzerland Nov 2022, 2022

    3031161734 / 9783031161735

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 64,19

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    Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. The authors emphasize several frontier aspects of graph neural networks and utilize graph data to describe pairwise relations for real-world data from many different domains, including social science, chemistry, and biology. Several frontiers of graph neural networks are introduced, which enable readers to acquire the needed techniques of advances in graph neural networks via theoretical models and real-world applications. 212 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031161734 / 9783031161735

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: Nuevo

    EUR 91,51

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    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Springer, 2022

    3031161734 / 9783031161735

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    Condición: Nuevo

    EUR 91,83

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    Condición: New. PRINT ON DEMAND.

  • Idioma: Inglés

    Editorial: Springer, Berlin|Springer International Publishing|Springer, 2023

    3031161734 / 9783031161735

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 55,78

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    Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph r.…

  • Idioma: Inglés

    Editorial: Springer, Springer Nov 2022, 2022

    3031161734 / 9783031161735

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 64,19

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    Cantidad disponible: 1 disponible

    Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. The authors emphasize several frontier aspects of graph neural networks and utilize graph data to describe pairwise relations for real-world data from many different domains, including social science, chemistry, and biology. Several frontiers of graph neural networks are introduced, which enable readers to acquire the needed techniques of advances in graph neural networks via theoretical models and real-world applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.…