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Graph Neural Networks in Action.
O'Reilly Online Learning: Academic/Public Library Edition Available online
O'Reilly Online Learning: Academic/Public Library Edition- Format:
- Book
- Author/Creator:
- Broadwater, Keita.
- Series:
- In Action Series
- Language:
- English
- Subjects (All):
- Neural networks (Computer science).
- Machine learning.
- Artificial intelligence.
- Big data--Analysis.
- Data mining.
- Pattern recognition systems.
- Python (Computer program language).
- Computer science--Mathematical models.
- Physical Description:
- 1 online resource (314 pages)
- Edition:
- 1st ed.
- Place of Publication:
- New York : Manning Publications Co. LLC, 2025.
- Summary:
- Graph Neural Networks in Action teaches you how to analyze and make predictions on data structured as graphs. You’ll work with graph convolutional networks, attention networks, and auto-encoders to take on tasks like node classification, link prediction, working with temporal data, and object classification. Along the way, you’ll learn the best methods for training and deploying GNNs at scale—all clearly illustrated with well-annotated Python code!
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781638357407
- 1638357404
- OCLC:
- 1503844387
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