A big graph clustering method to support parallel processing by perceiving graph’s application algorithm semantics

As the size of graph data grows exponentially, it is usually processed by parallel and distributed computing environment. During parallel processing, the first step is to divide the graph data into many subgraphs and then place them on different computational nodes. However, the existing graph clust...

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