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Concepts and techniques of graph neural network /

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자료유형E-Book
개인저자Kumar, Vinod, 1986-, editor.
Rajput, Dharmendra Singh, 1985-, editor.
서명/저자사항Concepts and techniques of graph neural network /Vinod Kumar, Dharmendra Singh Rajput.
형태사항1 online resource (xx, 247 pages) : illustrations (some color).
총서사항Advances in systems analysis software engineering, and high performance computing (ASASEHPC) book series
소장본 주기Added to collection customer.56279.3
ISBN9781668469057
1668469057
9781668469064
1668469065



기타표준부호10.4018/978-1-6684-6903-3doi
서지주기Includes bibliographical references and index.
내용주기Study and analysis of visual saliency applications using graph neural networks / Ravi Kant Kumar, Gayathri Dhara -- Graph neural network and its applications / Sougatamoy Biswas -- Comprehensive study of face recognition using feature extraction and fusion face technique / Jayanti Mehra -- Application and some fundamental study of GNN in forecasting / Arun Kumar Garov, A.K. Awasthi, Ram Kumar -- Introduction to graph neural network, types and applications / Ganga SVS.
요약"This book will aim to provide stepwise discussion; exhaustive literature review; detailed analysis and discussion; rigorous experimentation results, application-oriented approach that will be demonstrated with respect to applications of Graph Neural Network (GNN). It will be written to develop the understanding of concepts and techniques on GNN and to establish the familiarity of different real applications in various domains for GNN. Moreover, it will also cover the prevailing challenges and opportunities"--
일반주제명Neural networks (Computer science)
Graph theory -- Data processing.
Re?seaux neuronaux (Informatique)
Graph theory -- Data processing
Neural networks (Computer science)
언어영어
기타형태 저록Print version:Concepts and techniques of graph neural network.Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2023]9781668469057
대출바로가기https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3620497

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