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Graph Neural Networks Essentials And Use Cases 1st Edition Pethuru Raj Chelliah

Name: Graph Neural Networks Essentials And Use Cases 1st Edition Pethuru Raj Chelliah
SKU: BELL-237549336
Price: 35.00 USD
Availability: InStock
Rating: 5 (78 reviews)

SKU: BELL-237549336

$ 35.00 ~~$ 45.00~~ (-22%)

5.0

78 reviews

Graph Neural Networks Essentials And Use Cases 1st Edition Pethuru Raj Chelliah instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 5.92 MB

Pages: 418

Author: Pethuru Raj Chelliah, Pawan Whig, Susila Nagarajan, Usha Sakthivel, Nikhitha Yathiraju

ISBN: 9783031885389, 9783031885372, 3031885384, 3031885376

Language: English

Year: 2025

Edition: 1

Product desciption

Graph Neural Networks Essentials And Use Cases 1st Edition Pethuru Raj Chelliah by Pethuru Raj Chelliah, Pawan Whig, Susila Nagarajan, Usha Sakthivel, Nikhitha Yathiraju 9783031885389, 9783031885372, 3031885384, 3031885376 instant download after payment.

Graph neural networks (GNNs) are a powerful deep learning model that works with graph-structured data. There are a few variants such as graph convolutional networks (GCN), graph attentional networks (GAT), and graph recurrent networks (GRN). GNNs are widely used to deal with problems such as node classification, link prediction, graph clustering, visualization and classifcation, anomaly detection, recommendation systems, natural language processing, adversarial attack prevention, and computer vision.

This book helps to demystify GNN technologies and tools. Various industrial and businesses applications are delineated. Practical chapters are stuffed to explain how GNNs are powerful and pioneering across industry verticals.