The amount of information that is stored and processed by computer systems is constantly increasing. The relational model is still popular. Unfortunately, despite its simplicity, it has many disadvantages, which more often exclude it from large-scale applications. The property graph model seems to be a good alternative for describing real world data with its relationships. Therefore, property graph based databases become more and more popular every day. In this paper we introduce Named Property Graph model that allows to group graphs into separate units and describe information about them. We also present $\text{Cypher}_{n}$ query language that supports our proposal, mapping algorithms, use cases with the chemical data, and SDFEater that is our tool for processing data. Presented solutions are fully backward compatible with existing databases.