Graph neural networks in action

By:

Broadwater, Keita

Contributor(s):

Stillman, Namid

Material type: Text

TextPublication details: Shelter Island Manning Publications 2025Description: xix, 370 pISBN:

9781617299056

Subject(s):

Network--Analaystics

DDC classification:

006.32 BRO

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! (https://www.manning.com/books/graph-neural-networks-in-action)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.32 BRO (Browse shelf(Opens below))	1	Available		009227

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Previous	006.312 ZUM Practical data science with R	006.32 ABD Responsible graph neural networks	006.32 AGG Neural networks and deep learning: a textbook	006.32 BRO Graph neural networks in action	006.32 CIA Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles	006.32 TRI Unraveling the mathematics of machine learning and deep learning algorithms: demystifying basic to advanced concepts & mathematics of machine learning and deep learning	006.32 WEI Deep learning from scratch: building with Python from first principles	Next

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!

(https://www.manning.com/books/graph-neural-networks-in-action)

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