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Hands-on graph neural networks using Python :practical techniques and architectures for building powerful graph and deep learning apps with Python /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hands-on graph neural networks using Python :Maxime Labonne.
Reminder of title:	practical techniques and architectures for building powerful graph and deep learning apps with Python /
Author:	Labonne, Maxime,
Published:	Birmingham, UK :Packt Publishing, Limited,2023.
Description:	xx, 330 p. :ill. ;24 cm.
Subject:	Deep learning (Machine learning)
ISBN:	9781804617526 (pbk.) :

Hands-on graph neural networks using Python :practical techniques and architectures for building powerful graph and deep learning apps with Python /
Labonne, Maxime,

Hands-on graph neural networks using Python :practical techniques and architectures for building powerful graph and deep learning apps with Python /Maxime Labonne. - Birmingham, UK :Packt Publishing, Limited,2023. - xx, 330 p. :ill. ;24 cm.

Includes bibliographical references and index.

ISBN: 9781804617526 (pbk.) :NT$1654

Nat. Bib. No.: GBC340260bnb

Nat. Bib. Agency Control No.: 020966286UkSubjects--Topical Terms:

913129
Deep learning (Machine learning)

LC Class. No.: QA76.73.P98 / L33 2023

Dewey Class. No.: 005.13/3

Hands-on graph neural networks using Python :practical techniques and architectures for building powerful graph and deep learning apps with Python /
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015 $a GBC340260 $2 bnb
016 7 $a 020966286 $2 Uk
020 $a 9781804617526 (pbk.) : $c NT$1654
020 $a 1804617520 (pbk.)
020 $z 9781804610701 (ebook)
035 $a (OCoLC)1356238045
035 $a on1356238045
040 $a YDX $b eng $c YDX $d UKMGB $d OCLCF $d OCLCO $d OCLCQ $d OCLCL
050 4 $a QA76.73.P98 $b L33 2023
082 0 4 $a 005.13/3 $2 23
100 1 $a Labonne, Maxime, $e author. $3 989555
245 1 0 $a Hands-on graph neural networks using Python : $b practical techniques and architectures for building powerful graph and deep learning apps with Python / $c Maxime Labonne.
260 $a Birmingham, UK : $b Packt Publishing, Limited, $c 2023.
300 $a xx, 330 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
650 0 $a Deep learning (Machine learning) $3 913129
650 0 $a Graph theory. $3 181880
776 0 8 $i ebook version : $z 9781804610701