Graph Classification

Graph classification is a process of categorizing entire networks or structures—called graphs—based on their patterns and features. These graphs consist of nodes (points) and edges (connections). For example, in social networks, graphs can represent people and their relationships. The goal is to analyze the overall structure and properties of the graph to identify its type or category, such as distinguishing between different kinds of molecules in chemistry or different types of social groups. Advanced algorithms extract key patterns to automatically classify these graphs, helping computers understand complex interconnected data.