RDB2Graph: A Generic Framework for Modeling Relational Databases as Graphs

Graph data mining is highly versatile, as it applies not only to graph data but to relational data, as long as it can be represented as pairs of relationships. However, modeling RDBs as graphs using existing methods is limited in describing semantics of the relational data. In this paper, we propose a two-phased graph-modeling framework that converts any RDB to a directed graph with richer semantics than previously allowed. We implemented the framework and used it for analyzing medical records of diabetes patients.