Introduction to Graph Neural Networks

Zhiyuan Liu

7 valutazioni di Goodreads

Lingua: inglese

Editore: Springer, Springer Mär 2020, 2020

3031004590 / 9783031004599

Serie: Libro 2 di 2 - Synthesis Lectures on Artificial Intelligence and Machine Learning

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

Brossura

Condizione: Nuovo

EUR 69,54

EUR 60,00 spedizione 
Spedito da Germania a U.S.A.

Quantità: 1 disponibile

Aggiungi al carrello
Resi gratuiti per 30 giorni

Descrizione dell’articolo da parte del venditore

This item is printed on demand - Print on Demand Titel. Neuware -Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks. However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements and cannot be well handled by traditional deep learning models (e.g., convolutional neural networks (CNNs) or recurrent neural networks (RNNs)). Nodes in graphs usually contain useful feature information that cannot be well addressed in most unsupervised representation learning methods (e.g., network embedding methods). Graph neural networks (GNNs) are proposed to combine the feature information and the graph structure to learn better representations on graphs via feature propagation and aggregation. Due to its convincing performance and high interpretability, GNN has recently become a widely applied graph analysis tool.This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks. Variants for different graph types and advanced training methods are also included. As for the applications of GNNs, the book categorizes them into structural, non-structural, and other scenarios, and then it introduces several typical models on solving these tasks. Finally, the closing chapters provide GNN open resources and the outlook of several future directions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.…

Codice articolo 9783031004599

Titolo
Introduction to Graph Neural Networks
Autore
Zhiyuan Liu
Editore
Springer, Springer Mär 2020
Anno di pubblicazione
2020
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
3031004590
ISBN 13
9783031004599
Peso dell'articolo
255 grammi
Dimensioni
235x191x8 mm
Serie
Libro 2 di 2: Synthesis Lectures on Artificial Intelligence and Machine Learning

buchversandmimpf2000

Emtmannsberg, BAYE, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 60,00EUR 75,00
I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.

Metodi di pagamento

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay
  • Assegno
  • PayPal

Descrizione dello Store

Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur

Specializzazione

Modernes Antiquariat - Bücher von 1960 bis heute

Informazioni sull’azienda del venditore

buchversandmimpf2000

Germania

Impressum

Gesetzliche Anbieterkennung:

Thorsten Retsch
Buchversand Mimpf2000
Oberölschnitz 16
95517 Emtmannsberg
Deutschland
Telefon: 092092023188
E-Mail: order@buchversandmimpf2000.de
USt-IdNr.: DE 235096871

Alternative Streitbeilegung:
Die Europäische Kommission stellt eine Plattform für die außergerichtliche Online-Streitbeilegung (OS-Plattform) bereit, aufrufbar unter http://ec.europa.eu/odr.