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Concepts and Techniques of Graph Neural Networks (Advances in Systems Analysis, Software Engineering, and High Performance Computing) - Tapa dura

 
9781668469071: Concepts and Techniques of Graph Neural Networks (Advances in Systems Analysis, Software Engineering, and High Performance Computing)

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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.

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.

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9781668469033: Concepts and Techniques of Graph Neural Networks

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ISBN 10:  1668469030 ISBN 13:  9781668469033
Editorial: IGI Global, 2023
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