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In Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's unique properties. Then, dive straight into building real-world models, including GNNs that can generate node embeddings from a social network, recommend eCommerce products, and draw insights from social sites. This comprehensive guide contains coverage of the essential GNN libraries, including PyTorch Geometric, DeepGraph Library, and Alibaba's GraphScope for training at scale.
About the readerFor Python programmers familiar with machine learning and the basics of deep learning.
In Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's unique properties. Then, dive straight into building real-world models, including GNNs that can generate node embeddings from a social network, recommend eCommerce products, and draw insights from social sites. This comprehensive guide contains coverage of the essential GNN libraries, including PyTorch Geometric, DeepGraph Library, and Alibaba's GraphScope for training at scale.
About the readerFor Python programmers familiar with machine learning and the basics of deep learning.
Keita Broadwater, PhD, MBA is a machine learning engineer with over ten years executing data science, analytics, and machine learning applications and projects. He is Chief of Machine Learning at [...], a firm which uses AI to enhance executive search. Dr. Broadwater has delivered DS and ML projects for all types of organisations, from small startups to Fortune 500 companies, and has developed and advised on graph-related projects in the industries of insurance, HR and recruiting, and supply chain.
| Erscheinungsjahr: | 2025 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Gebunden |
| ISBN-13: | 9781617299056 |
| ISBN-10: | 1617299057 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Broadwater, Keita
Stillman, Namid |
| Hersteller: | Manning Publications |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 234 x 188 x 20 mm |
| Von/Mit: | Keita Broadwater (u. a.) |
| Erscheinungsdatum: | 15.04.2025 |
| Gewicht: | 0,658 kg |
Keita Broadwater, PhD, MBA is a machine learning engineer with over ten years executing data science, analytics, and machine learning applications and projects. He is Chief of Machine Learning at [...], a firm which uses AI to enhance executive search. Dr. Broadwater has delivered DS and ML projects for all types of organisations, from small startups to Fortune 500 companies, and has developed and advised on graph-related projects in the industries of insurance, HR and recruiting, and supply chain.
| Erscheinungsjahr: | 2025 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Gebunden |
| ISBN-13: | 9781617299056 |
| ISBN-10: | 1617299057 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Broadwater, Keita
Stillman, Namid |
| Hersteller: | Manning Publications |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 234 x 188 x 20 mm |
| Von/Mit: | Keita Broadwater (u. a.) |
| Erscheinungsdatum: | 15.04.2025 |
| Gewicht: | 0,658 kg |
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