Concepts and Techniques of Graph Neural Networks
Language: English
Published by IGI Global, US, 2023
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 295.95
Quantity: Over 20 available
Add to basketItem description from seller
Recent advancements in graph neural networks have expanded their capacities and expressive power. Furthermore, practical applications have begun to emerge in a variety of fields including recommendation systems, fake news detection, traffic prediction, molecular structure in chemistry, antibacterial discovery physics simulations, and more. As a result, a boom of research at the juncture of graph theory and deep learning has revolutionized many areas of research. However, while graph neural networks have drawn a lot of attention, they still face many challenges when it comes to applying them to other domains, from a conceptual understanding of methodologies to scalability and interpretability in a real system. Concepts and Techniques of Graph Neural Networks provides a stepwise discussion, an exhaustive literature review, detailed analysis and discussion, rigorous experimentation results, and application-oriented approaches that are demonstrated with respect to applications of graph neural networks. The book also develops the understanding of concepts and techniques of graph neural networks and establishes the familiarity of different real applications in various domains for graph neural networks. Covering key topics such as graph data, social networks, deep learning, and graph clustering, this premier reference source is ideal for industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.…
Seller Inventory # LU-9781668469033
- Title
- Concepts and Techniques of Graph Neural Networks
- Author
- Vinod Kumar, Dharmendra Singh Rajput
- Publisher
- IGI Global, US
- Publication year
- 2023
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1668469030
- ISBN 13
- 9781668469033
- Item weight
- 916 grams
- Dimensions
- 21.59 x 1.6 x 27.94 cm
Concepts and Techniques of Graph Neural Networks provides a stepwise discussion, an exhaustive literature review, detailed analysis and discussion, rigorous experimentation results, and application-oriented approaches that are demonstrated with respect to applications of graph neural networks. The book also develops the understanding of concepts and techniques of graph neural networks and establishes the familiarity of different real applications in various domains for graph neural networks. Covering key topics such as graph data, social networks, deep learning, and graph clustering, this premier reference source is ideal for industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.
"Synopsis" may belong to another edition of this title.
About the Author
Dharmendra Rajput has a Ph.D. (January 2015) in the area of Document Clustering from National Institute of Technology Bhopal, India. He has 9+ years’ experience in teaching, research, and industry field. Currently, he is working as an Associate Professor in School of Information Technology & Engineering, VIT University, Vellore (India). He has published 10+ reputed journals papers and 12 papers presented in international conferences. He has visited four countries (i.e., Malaysia, UK, France, and UAE) to attend the various international conferences. He received various awards from Indian Government like DST, CSIR Travel Grant, MPCST Young Scientist Fellowship.
"About the title" may belong to another edition of this title.
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