Graph representation is a research area within computer science that focuses on how to represent and store graph data structures efficiently. A graph is a mathematical structure composed of nodes (or vertices) connected by edges (or links). Graphs are used to model a wide range of systems and relationships, such as social networks, transportation networks, and biological networks. In graph representation, researchers explore various data structures and algorithms for efficiently storing and manipulating graph data. This includes exploring different ways of representing graphs in memory, such as adjacency lists, adjacency matrices, and edge lists. Researchers also study algorithms for traversing and searching graphs, such as depth-first search and breadth-first search, as well as algorithms for finding shortest paths, spanning trees, and other properties of graphs. Overall, graph representation is a fundamental research area in computer science that underpins many applications in areas such as network analysis, optimization, and data mining.