Skip to main content

Hands-On Graph Neural Networks Using Python Cover

Hands-On Graph Neural Networks Using Python

Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Publisher:Packt Publishing Limited

By: Maxime Labonne

Paid access

|Sep 2024

E-Book €29.99Institutions €124.95

E-Book €29.99Institutions €124.95

Table of contents

Metrics

PDF ISBN: 978-1-80461-070-1

Publisher: Packt Publishing Limited

Copyright owner: © 2023 Packt Publishing Limited

Publication date: 2024

Language: English

Pages: 354

Related subjects:

Computer sciences,

Computer sciences, other

People also read

.blurhash-client-img { display: none !important; }

Applied Deep Learning on Graphs

Lakshya Khandelwal, Subhajoy Das

.blurhash-client-img { display: none !important; }

Graph Machine Learning

Claudio Stamile, Aldo Marzullo, Enrico Deusebio

.blurhash-client-img { display: none !important; }

Graph Machine Learning

Aldo Marzullo, Enrico Deusebio, Claudio Stamile

.blurhash-client-img { display: none !important; }

Modern Graph Theory Algorithms with Python

Colleen M. Farrelly, Franck Kalala Mutombo

.blurhash-client-img { display: none !important; }

Graph Data Science with Neo4j

.blurhash-client-img { display: none !important; }

Network Science with Python

David Knickerbocker

.blurhash-client-img { display: none !important; }

Hands-On Neural Networks

Leonardo De Marchi, Laura Mitchell

.blurhash-client-img { display: none !important; }

Network Science with Python and NetworkX Quick Start Guide

Edward L. Platt

.blurhash-client-img { display: none !important; }

Machine Learning with PyTorch and Scikit-Learn

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov

.blurhash-client-img { display: none !important; }

Hands-On Graph Analytics with Neo4j