Fundamentals of Graph for Graph Neural Network

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Author(s): Vinod Kumar (Koneru Lakshmaiah Education Foundation, Guntur, India), Himanshu Prajapati (United Institute of Technology (UIT), Prayagraj, India)and Sasikala Ponnusamy (Makhanlal Chaturvedi National University of Journalism and Communication, India)
Copyright: 2023
Pages: 18
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.ch001

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

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Abstract

The vertices, which are also known as nodes or points, and the edges, which are responsible for connecting the vertices to one another, are the two primary components that make up a graph. Graph theory is the mathematical study of graphs, which are structures that are used to depict relations between items by making use of a pairwise relationship between them. Graphs can be thought of as a visual representation of a mathematical equation. The principles of graph theory will be covered in this chapter.

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