Graph Visualization is a technique used to represent data in the form of graphs, making complex relationships easier to understand. It involves displaying nodes (or vertices) and edges (or links) to illustrate how different elements are connected. This method is widely used in various fields, including computer science, social network analysis, and biology. By using visual elements like colors, shapes, and sizes, graph visualization helps users quickly identify patterns, clusters, and outliers within the data. Tools and software, such as Gephi and Cytoscape, are often employed to create interactive and informative visual representations, enhancing data analysis and decision-making processes.