A graph generator is a tool or algorithm used to create graphs automatically, often for data visualization, network analysis, or simulations. These generators can produce various types of graphs, including random, scale-free, and small-world networks. They are widely used in machine learning, social network analysis, and computational biology. Popular libraries like NetworkX, Graphviz, and Matplotlib offer built-in graph generation functions. Graph generators help model real-world systems such as social interactions, transportation networks, and neural connections. By adjusting parameters like node count and edge probability, users can create customized graphs suited for specific research or analytical purposes.