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When we want to analyze the entity information and mine the necessary knowledge, according to the heterogeneous multi-dimensional Graph OLAP(graph online analytical processing) framework, firstly this paper modeled the heterogeneous multi-dimensional Graph OLAP data warehouse, then modeled the heterogeneous multi-dimensional graph cube to adapt to entity dimensional analysis. Finally it added rotate and stretch operations to solve the problem of Graph OLAP's poor ability towards heterogeneous network, and implemented heterogeneous multi-dimensional Graph OLAP prototype, Liter Miner. It is proves effective on analyzing heterogeneous networks in DBLP data and mining the knowledge that is needed by researchers. [ABSTRACT FROM AUTHOR]