Stamile, Claudio
Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
- ISBN 13:
- 9781800204492
- author:
- Stamile, Claudio
- format:
- Paperback / softback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2021
- Pages:
- 338
- Dimensions:
- 23.5 x 19.1 x 1.8 centimeters (0
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Graph Machine Learning: Unlocking the Power of Graph Data with Machine Learning Techniques and Algorithms Discover how to build machine learning algorithms using graph data and efficiently exploit topological information within your models. This comprehensive guide covers the basics of graph theory and graph machine learning, as well as the main machine learning models for graph representation learning. You'll learn how to implement these techniques in a wide range of supervised and unsupervised learning applications, build a complete machine learning pipeline, and apply graph-based machine learning methods to solve real-life problems. Real-world scenarios such as social networks, text analytics, natural language processing (NLP), and financial transaction systems on graphs are also covered. By the end of this book, you'll have gained essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications.
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