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Books > Computing & IT > Computer communications & networking > Network security
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Responsible Graph Neural Networks (Paperback)
Loot Price: R1,502
Discovery Miles 15 020
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Responsible Graph Neural Networks (Paperback)
Expected to ship within 12 - 19 working days
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More frequent and complex cyber threats require robust, automated
and rapid responses from cyber security specialists. This book
offers a complete study in the area of graph learning in cyber,
emphasising graph neural networks (GNNs) and their cyber security
applications. Three parts examine the basics; methods and
practices; and advanced topics. The first part presents a grounding
in graph data structures and graph embedding and gives a taxonomic
view of GNNs and cyber security applications. Part two explains
three different categories of graph learning including
deterministic, generative and reinforcement learning and how they
can be used for developing cyber defence models. The discussion of
each category covers the applicability of simple and complex
graphs, scalability, representative algorithms and technical
details. Undergraduate students, graduate students, researchers,
cyber analysts, and AI engineers looking to understand practical
deep learning methods will find this book an invaluable resource.
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