Lingfei (59 résultats)
- Couverture rigide
Vendeur : BooksRun, Philadelphia, PA, Etats-UnisBooksRun
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EUR 76,22
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Hardcover. Etat : Very Good. 1st ed. 2022. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Langue : anglais
Edité par Peter Lang Inc., International Academic Publishers, 2023
- Couverture rigide
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
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EUR 73,80
EUR 4,85 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 15 disponible(s)
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue : anglais
Edité par Peter Lang Inc., International Academic Publishers, 2023
- Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 78,48
EUR 2,27 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
Graph Neural Networks : Foundations, Frontiers, and Applications
Wu, Lingfei (EDT); Cui, Peng (EDT); Pei, Jian (EDT); Zhao, Liang (EDT)
- Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 86,20
EUR 2,27 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : As New. Unread book in perfect condition.
Langue : anglais
Edité par Peter Lang Inc., International Academic Publishers, 2023
- Couverture rigide
Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 90,12
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 15 disponible(s)
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue : anglais
Edité par Peter Lang Inc., International Academic Publishers, 2023
- Couverture rigide
Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 75,96
EUR 13,96 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. In.
Langue : anglais
Edité par Peter Lang Inc., International Academic Publishers, 2023
- Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 88,33
EUR 2,27 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : As New. Unread book in perfect condition.
- Couverture souple
Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 79,38
EUR 13,96 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. In.
Langue : anglais
Edité par Peter Lang Inc., International Academic Publishers, 2023
- Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 75,95
EUR 17,48 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
- Couverture souple
Vendeur : Chiron Media, Wallingford, Royaume-UniChiron Media
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 76,63
EUR 18,05 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 10 disponible(s)
PF. Etat : New.
Graph Neural Networks : Foundations, Frontiers, and Applications
Wu, Lingfei (EDT); Cui, Peng (EDT); Pei, Jian (EDT); Zhao, Liang (EDT)
- Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 93,57
EUR 2,27 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
Graph Neural Networks : Foundations, Frontiers, and Applications
Wu, Lingfei (EDT); Cui, Peng (EDT); Pei, Jian (EDT); Zhao, Liang (EDT)
- Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 79,37
EUR 17,48 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
- Couverture rigide
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandeKennys Bookshop and Art Galleries Ltd.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 87,45
EUR 9,50 expéditionExpédition depuis Irlande vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
Graph Neural Networks : Foundations, Frontiers, and Applications
Wu, Lingfei (EDT); Cui, Peng (EDT); Pei, Jian (EDT); Zhao, Liang (EDT)
- Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 87,05
EUR 17,48 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : As New. Unread book in perfect condition.
- Couverture souple
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 107,59
Frais de port gratuitsExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. 2022 ed. 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 res…earch 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.
Langue : anglais
Edité par Peter Lang Inc., International Academic Publishers, 2023
- Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 90,81
EUR 17,48 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : As New. Unread book in perfect condition.
- Couverture rigide
Vendeur : Kennys Bookstore, Olney, MD, Etats-UnisKennys Bookstore
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 109,61
EUR 9,03 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
- Couverture souple
Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 124,89
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
- Couverture rigide
Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 116,26
EUR 13,96 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. In.
Graph Neural Networks : Foundations, Frontiers, and Applications
Wu, Lingfei (EDT); Cui, Peng (EDT); Pei, Jian (EDT); Zhao, Liang (EDT)
- Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 130,49
EUR 2,27 expéditionExpédition nationale : Etats-UnisQuantité disponible : 5 disponible(s)
Etat : As New. Unread book in perfect condition.
Graph Neural Networks : Foundations, Frontiers, and Applications
Wu, Lingfei (EDT); Cui, Peng (EDT); Pei, Jian (EDT); Zhao, Liang (EDT)
- Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 131,11
EUR 2,27 expéditionExpédition nationale : Etats-UnisQuantité disponible : 5 disponible(s)
Etat : New.
- Couverture rigide
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 133,46
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Hardcover. Etat : 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 r…esearch 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.
Graph Neural Networks : Foundations, Frontiers, and Applications
Wu, Lingfei (EDT); Cui, Peng (EDT); Pei, Jian (EDT); Zhao, Liang (EDT)
- Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 116,24
EUR 17,48 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
- Couverture souple
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandeKennys Bookshop and Art Galleries Ltd.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 133,55
EUR 9,50 expéditionExpédition depuis Irlande vers Etats-UnisQuantité disponible : 15 disponible(s)
Etat : New.
Graph Neural Networks : Foundations, Frontiers, and Applications
Wu, Lingfei (EDT); Cui, Peng (EDT); Pei, Jian (EDT); Zhao, Liang (EDT)
- Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 129,47
EUR 17,48 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : As New. Unread book in perfect condition.
- Couverture rigide
Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 147,93
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
- Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 151,84
EUR 3,43 expéditionExpédition nationale : Etats-UnisQuantité disponible : 4 disponible(s)
Etat : New.
- Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 89,95
EUR 62,25 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Buch. Etat : 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 deca…des 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.
- Couverture rigide
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 158,47
Frais de port gratuitsExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Hardback. Etat : New. 2022 ed. 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 rese…arch 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.
- Couverture souple
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 117,23
EUR 38,08 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 s…uch 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.
