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Graph Neural Networks: Essentials and Use Cases by Pethuru Raj Chelliah, Pawan Whig, Susila Nagarajan, Usha Sakthivel, Nikhitha Yathiraju ISBN 9783031885389, 9783031885372, 3031885384, 3031885376 instant download

  • SKU: EBN-237549336
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Instant download (eBook) Graph Neural Networks: Essentials and Use Cases after payment.
Authors:Pethuru Raj Chelliah, Pawan Whig, Susila Nagarajan, Usha Sakthivel, Nikhitha Yathiraju
Pages:418 pages
Year:2025
Edition:1
Publisher:Springer
Language:english
File Size:5.92 MB
Format:pdf
ISBNS:9783031885389, 9783031885372, 3031885384, 3031885376
Categories: Ebooks

Product desciption

Graph Neural Networks: Essentials and Use Cases by Pethuru Raj Chelliah, Pawan Whig, Susila Nagarajan, Usha Sakthivel, Nikhitha Yathiraju ISBN 9783031885389, 9783031885372, 3031885384, 3031885376 instant download

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.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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