Application and Some Fundamental Study of GNN In Forecasting

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Author(s): Arun Kumar Garov (Lovely Professional University, India), A. K. Awasthi (Lovely Professional University, India), Ram Kumar (Lovely Professional University, India)and Monica Sankat (Lovely Professional University, India)
Copyright: 2023
Pages: 23
Source title: Concepts and Techniques of Graph Neural Networks
Source Author(s)/Editor(s): Vinod Kumar (Koneru Lakshmaiah Education Foundation (Deemed), India)and Dharmendra Singh Rajput (VIT University, India)
DOI: 10.4018/978-1-6684-6903-3.ch009

Keywords: Artificial Intelligence / Computer Science & IT / Engineering Science Reference / Neural Networks

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Abstract

The chapter consists of the application of GNN with all applied fundamentals in different fields of application. Firstly, the discussion will be about the graph using graph theory connection to the mathematical aspect. Secondly, the basis of the data set will be for forecasting and predictive analysis, application, and fundamental concepts, which will help in decision making regarding the different unsolved problems. Third, knowledge about the models of the graph neural network with the examples will be a very important part of the chapter. This chapter is useful for fulfilling the research gap in the field of some forecasting models using graph neural networks with the application of machine learning on data analysis with a large number of examples.

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Application and Some Fundamental Study of GNN In Forecasting

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