Graph abstraction is a technique used to simplify complex networks by reducing the number of nodes and edges while preserving essential structural properties, enabling easier analysis and visualization. It is widely applied in fields such as computer science, data analysis, and bioinformatics to manage and interpret large-scale graph data efficiently.