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Hop-Constrained Subgraph Query and Summarization on Large Graphs

机译:大图中的跳跃限制的子图查询和摘要

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摘要

We study the problem of hop-constrained relation discovery in a graph, i.e., finding the structural relation between a source node s and a target node t within k hops. Previously studied s - t graph problems, such as distance query and path enumeration, fail to reveal the s - t relation as a big picture. In this paper, we propose the k-hop s - t subgraph query, which returns the subgraph containing all paths from s to t within k hops. Since the subgraph may be too large to be well understood by the users, we further present a graph summarization method to uncover the key structure of the subgraph. Experiments show the efficiency of our algorithms against the existing path enumeration based method, and the effectiveness of the summarization.
机译:我们研究了跳跃中跳跃关系发现的问题,即,在k跳内找到源节点S和目标节点T之间的结构关系。 以前研究的S-T图形问题,例如距离查询和路径枚举,未能揭示S-T关系作为大图片。 在本文中,我们提出了K-Hop S-T子图查询,它将包含从k跳中的S到T的所有路径的子图返回。 由于用户可能太大而无法通过用户很大理解,因此我们进一步提出了一种揭示子图的关键结构的图表摘要方法。 实验表明我们的算法对现有的基于路径枚举的方法以及摘要的有效性。

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