Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Lingua: Inglese
Editore: Peter Lang Inc., International Academic Publishers, 2023
ISBN 10: 1433177730 ISBN 13: 9781433177736
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 73,27
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Peter Lang Inc., International Academic Publishers, 2023
ISBN 10: 1433177730 ISBN 13: 9781433177736
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: Peter Lang Inc., International Academic Publishers, 2023
ISBN 10: 1433177730 ISBN 13: 9781433177736
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 75,41
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Lingua: Inglese
Editore: Peter Lang Inc., International Academic Publishers, 2023
ISBN 10: 1433177730 ISBN 13: 9781433177736
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 87,76
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Lingua: Inglese
Editore: Peter Lang Inc., International Academic Publishers, 2023
ISBN 10: 1433177730 ISBN 13: 9781433177736
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 78,81
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Lingua: Inglese
Editore: Peter Lang Inc., International Academic Publishers, 2023
ISBN 10: 1433177730 ISBN 13: 9781433177736
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Chiron Media, Wallingford, Regno Unito
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 87,45
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 86,53
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Lingua: Inglese
Editore: Springer Verlag, Singapore, SG, 2023
ISBN 10: 9811660565 ISBN 13: 9789811660566
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 106,57
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Aggiungi al carrelloPaperback. Condizione: New. 2022 ed.
Lingua: Inglese
Editore: Peter Lang Inc., International Academic Publishers, 2023
ISBN 10: 1433177730 ISBN 13: 9781433177736
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 90,18
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Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9811660565 ISBN 13: 9789811660566
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many challenges ranging from the foundational methodologies to the theoretical understandings of the power of the graph representation learning.This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history,current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs. This book is suitable for a wide audience including undergraduate and graduate students, postdoctoral researchers, professors and lecturers, as well as industrial and government practitioners who are new to this area or who already have some basic background but want to learn more about advanced and promising techniques and applications. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: California Books, Miami, FL, U.S.A.
EUR 117,11
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Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 109,79
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811660530 ISBN 13: 9789811660535
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many challenges ranging from the foundational methodologies to the theoretical understandings of the power of the graph representation learning.This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history,current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs. This book is suitable for a wide audience including undergraduate and graduate students, postdoctoral researchers, professors and lecturers, as well as industrial and government practitioners who are new to this area or who already have some basic background but want to learn more about advanced and promising techniques and applications. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 115,41
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 125,59
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 115,40
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 128,54
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 133,55
Quantità: 15 disponibili
Aggiungi al carrelloCondizione: New.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 89,95
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Located in Nujiang Lisu Autonomous Prefecture, Yunnan Province, Yushichang is a typical village of the Pumi ethnic group. With a current population of more than 360, the village has been home to the Pumi people for more than 500 years. Over the first six decades of the People's Republic of China, Yushichang village has managed to protect both its ecological environment and the Pumi culture. Drawing on a rich trove of oral history and ethnographic studies, this book tries to understand, at both the micro and macro levels, how this population has navigated the tension between tradition and modernity and what resources it might bring to bear to meet future challenges.
EUR 94,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Graph Neural Networks: Foundations, Frontiers, and Applications | Lingfei Wu (u. a.) | Taschenbuch | xxxvi | Englisch | 2023 | Springer | EAN 9789811660566 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.