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You're reading from  Hands-On Graph Neural Networks Using Python

Product typeBook
Published inApr 2023
PublisherPackt
ISBN-139781804617526
Edition1st Edition
Concepts
Neural Networks
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Author (1)
Maxime Labonne
Maxime Labonne
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Maxime Labonne

Maxime Labonne is currently a senior applied researcher at Airbus. He received a M.Sc. degree in computer science from INSA CVL, and a Ph.D. in machine learning and cyber security from the Polytechnic Institute of Paris. During his career, he worked on computer networks and the problem of representation learning, which led him to explore graph neural networks. He applied this knowledge to various industrial projects, including intrusion detection, satellite communications, quantum networks, and AI-powered aircrafts. He is now an active graph neural network evangelist through Twitter and his personal blog.
Read more about Maxime Labonne

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Exploring the Book-Crossing dataset

In this section, we will perform exploratory data analysis on a new dataset and visualize its main characteristics.

The Book-Crossing dataset [1] is a collection of book ratings provided by 278,858 users in the BookCrossing community (www.bookcrossing.com). The ratings, which are both explicit (rating between 1 and 10) and implicit (users interacted with the book), total 1,149,780 and pertain to 271,379 books. The dataset was collected by Cai-Nicolas Ziegler during a four-week crawl in August and September 2004. We will use the Book-Crossing dataset to build a book recommender system in this chapter.

Let’s download the dataset and unzip it with the following commands:

from io import BytesIO
from urllib.request import urlopen
from zipfile import ZipFile
url = 'http://www2.informatik.uni-freiburg.de/~cziegler/BX/BX-CSV-Dump.zip'
with urlopen(url) as zurl:
    with ZipFile(BytesIO(zurl.read())) as zfile...
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Hands-On Graph Neural Networks Using Python
Published in: Apr 2023Publisher: PacktISBN-13: 9781804617526
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Maxime Labonne

Maxime Labonne is currently a senior applied researcher at Airbus. He received a M.Sc. degree in computer science from INSA CVL, and a Ph.D. in machine learning and cyber security from the Polytechnic Institute of Paris. During his career, he worked on computer networks and the problem of representation learning, which led him to explore graph neural networks. He applied this knowledge to various industrial projects, including intrusion detection, satellite communications, quantum networks, and AI-powered aircrafts. He is now an active graph neural network evangelist through Twitter and his personal blog.
Read more about Maxime Labonne

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