April 2023
Intermediate to advanced
354 pages
8h 22m
English
Content preview from Hands-On Graph Neural Networks Using Python
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Preface
In just ten years, Graph Neural Networks (GNNs) have become an essential and popular deep learning architecture. They have already had a significant impact various industries, such as in drug discovery, where GNNs predicted a new antibiotic, named halicin, and have improved estimated time of arrival calculations on Google Maps. Tech companies and universities are exploring the potential of GNNs in various applications, including recommender systems, fake news detection, and chip design. GNNs have enormous potential and many yet-to-be-discovered applications, making them a critical tool for solving global problems.
In this book, we aim to provide a comprehensive and practical overview of the world of GNNs. We will begin by exploring the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.