Titlebook: Large-scale Graph Analysis: System, Algorithm and Optimization; Yingxia Shao,Bin Cui,Lei Chen Book 2020 Springer Nature Singapore Pte Ltd.

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Efficient Parallel Subgraph Enumeration,s. The PSgL iteratively enumerates subgraph instances and solves the subgraph enumeration in a divide-and-conquer fashion. The framework completely relies on the graph traversal operation instead of the explicit join operation. To achieve the high efficiency of the framework, we propose several algo

ENACT

Efficient Parallel Graph Extraction,homogeneous graph, the relation is defined by a line pattern on the heterogeneous graph and the new attribute values of the relation are calculated by user-defined aggregate functions. When facing large-scale heterogeneous graphs, the key challenges of the extraction problem are how to efficiently e

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Efficient Parallel Cohesive Subgraph Detection,handle large graphs. In this chapter, we investigate a special community detection problem, that is, cohesive subgraph detection. Here the target cohesive subgraph is .-truss, which is motivated by a natural observation of social cohesion. We propose a novel parallel and efficient truss detection al

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Conclusions,-scale graph analysis. It not only helps analysts achieve high scalability and efficiency, but also enables analysts to focus on the logic of analysis tasks through transparenting the tedious distributed communication protocols. In this book, we chose Pregel-like systems as a basic platform, and studied the deficiency of existing systems.

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Large-scale Graph Analysis: System, Algorithm and Optimization978-981-15-3928-2Series ISSN 2522-0179 Series E-ISSN 2522-0187