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Regular version of the site

Article

Data Compression in Big Graph Warehouse

Journal of Mathematical Sciences. 2020. Vol. 245. P. 197-201.
Polyakov I. V., Chepovskiy A., Chepovskiy A.

In this paper we propose an approach for compact storage of big graphs. We
propose the preprocessing algorithms of a certain type of graphs which can
signi cantly increase the data density on the disc and increase performance
of fundamental operations with graphs.