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Concepts and Techniques of Graph Neural Networks

Concepts and Techniques of Graph Neural Networks
Concepts and Techniques of Graph Neural Networks

Concepts and Techniques of Graph Neural Networks

Hardback / bound | English
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Description

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.

Dr. Vinod Kumar received the Bachelor of Science (PCM) from the University of Allahabad, Uttar Pradesh, India in 2008 and the Master of Computer Applications in 2011. He qualified for UGC-NET (Computer Science and Applications) in 2012. He did his Ph.D. from Maulana Azad National Institute of Technology (MANIT), Bhopal (MP) in 2019. He has worked as a Project Fellow on Project "Network Simulation Testbed at MCTE, MHOW (MP)" in collaboration with the Military College of Telecommunication Engineering (MCTE ), Mhow (MP), funded by the Army Technology Board. He has over 10 years of experience in research and teaching. Currently, he is working as an Associate Professor in the Computer Science and Engineering Department of Koneru Lakshmaiah Education Foundation (KL Deemed to University), Andhra Pradesh. He is an active researcher in the fields of Big Data Analytics, Web Mining, Machine Learning, Blockchain Technology, and the Internet of Things. He has published 20+ research articles in reputed journals and presented his research work at conferences.(54bbbcb1-c2a3-4940-a425-6a426458b7d1)

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.

Specifications

  • Publisher
    IGI Global
  • Pub date
    May 2023
  • Pages
    247
  • Theme
    Neural networks and fuzzy systems
  • Dimensions
    279 x 216 mm
  • Weight
    916 gram
  • EAN
    9781668469033
  • Hardback / bound
    Hardback / bound
  • Language
    English

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