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Building and mining graph databases from biomedical heterogeneous networks

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In the paper "Building and mining graph databases from biomedical heterogeneous networks", in order to explore the underlying knowledge in heterogeneous network data, we propose an approach to the Neo4J graph database and some graph algorithms such as PageRank, Community detection, and Similarity algorithm. Performing experiments on some heterogeneous data, we have obtained significant results, we can see that the proposed method improves efficiency, increases accuracy, and reduces execution time compared to traditional way of storing data. |

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