Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Zahir Tari

Responsible Graph Neural Networks (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book offers a complete study in the area of graph learning in cyber, emphasising graph neural networks (GNNs) and their cyber security applications.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 323
• Erscheinungstermin: 5. Juni 2023
• Englisch
• ISBN-13: 9781000871234
• Artikelnr.: 67717874

Autorenporträt

Mohamed Abdel-Basset is an Associate Professor at the Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt.

Nour Moustafa currently is a Senior Lecturer and Leader of Intelligent Security Group at the School of Engineering and Information Technology, University of New South Wales (UNSW), Canberra, Australia. He is also a Strategic Advisor (AI-SME) at DXC Technology, Canberra.

Hossam Hawash is a Senior Researcher at the Department of Computer Science, Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt.

Zahir Tari is the Research Director of the RMIT Centre of Cyber Security Research and Innovation (CCSRI), Royal Melbourne Institute of Technology, School of Computing Technologies, Melbourne, Australia.

Inhaltsangabe

1. Introduction to Graph Intelligence. 2. Fundamentals of Graph
Representations. 3. Graph Embedding: Methods, Taxonomies, and Applications.
4. Toward Graph Neural Networks: Essentials and Pillars. 5. Graph
Convolution Networks: A Journey from Start to End. 6. Graph Attention
Networks: A Journey from Start to End. 7. Recurrent Graph Neural Networks:
A Journey from Start to End. 8. Graph Autoencoders: A Journey from Start to
End. 9. Interpretable Graph Intelligence: A Journey from Black to White
Box. 10. Toward Privacy Preserved Graph Intelligence: Concepts, Methods,
and Applications