Graph Machine Learning Learn about the latest advancements in graph data to build robust machine learning models
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 49.00
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Verkaufsrang
37293
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
18.07.2025
Verlag
Packt PublishingSeitenzahl
434 (Printausgabe)
Dateigröße
14018 KB
Sprache
Englisch
EAN
9781803246611
Graph Machine Learning, Second Edition builds on its predecessor's success, delivering the latest tools and techniques for this rapidly evolving field. From basic graph theory to advanced ML models, you'll learn how to represent data as graphs to uncover hidden patterns and relationships, with practical implementation emphasized through refreshed code examples. This thoroughly updated edition replaces outdated examples with modern alternatives such as PyTorch and DGL, available on GitHub to support enhanced learning. The book also introduces new chapters on large language models and temporal graph learning, along with deeper insights into modern graph ML frameworks. Rather than serving as a step-by-step tutorial, it focuses on equipping you with fundamental problem-solving approaches that remain valuable even as specific technologies evolve. You will have a clear framework for assessing and selecting the right tools. By the end of this book, you'll gain both a solid understanding of graph machine learning theory and the skills to apply it to real-world challenges.
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