19 Graph Algorithms You Can Use Right Now

Memgraph, an in-memory graph database, and MAGE, its open-source repository tool, facilitate the easy implementation of graph algorithms on data networks. Users can quickly download Memgraph, import their data, and choose from 19 popular graph algorithms to perform complex analyses. These algorithms, which include Betweenness Centrality, Biconnected Components, Bipartite Matching, Bridge Detection, Community Detection, and others, are designed to address various network problems such as node importance, connectivity, and structure. Each algorithm comes with its own GitHub repository for easy integration as query modules within Memgraph. The document provides detailed insights into how each algorithm functions, their computational complexities, and potential applications in fields like recommendation systems, fraud detection, and dynamic networks. For a visual overview, users are encouraged to explore the Advanced Graph Algorithms Infographic, which illustrates the capabilities of these algorithms in Memgraph.