Exploring Deep Learning Architectures for Graph Applications

Name: Exploring Deep Learning Architectures for Graph Applications
Brand: LAP LAMBERT Academic Publishing
SKU: 9786202917650
Price: 1219 CZK
Availability: InStock

Autor: Irwin King

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP LAMBERT Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 219 Kč

Graph-structured data are the backbone of numerous real-world machine learning tasks, such as social...

Informace o knize

Autor

Irwin King

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2020

Stránek

136

EAN

9786202917650

ISBN

6202917652

Enbook ID

36917993

Vydavatel

LAP LAMBERT Academic Publishing

Hmotnost

221

Rozměry

150 x 220 x 8

Kompletní popis

Graph-structured data are the backbone of numerous real-world machine learning tasks, such as social networks, recommender systems, traffic networks, and so on. The fundamental challenge in solving these tasks is to find a way to encode graph structures as well as to incorporate various node or edge information so that machine learning models can easily exploit them. In this dissertation, we explore deep learning architectures, especially the graph neural networks for multiple graph learning applications, i.e., node classification, link prediction, spatiotemporal graph forecasting on irregular grid, and supervised sequence learning problems.

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také

Nejčastěji hledané

Categories

Authors

Publishers

Produkty

Produkty

Nejčastěji hledané

Categories

Authors

Publishers

Produkty

Produkty

Exploring Deep Learning Architectures for Graph Applications

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také