Graph Computing is a method of processing data that uses graphs to represent relationships between different entities. In this approach, nodes represent the entities, while edges represent the connections or relationships between them. This structure allows for efficient analysis of complex data sets, making it easier to identify patterns and insights. Applications of Graph Computing can be found in various fields, including social networks, recommendation systems, and biological research. By leveraging graph algorithms, such as PageRank or Dijkstra's algorithm, researchers and developers can solve problems related to connectivity, shortest paths, and community detection effectively.