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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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