Distributed Subgraph Query Processing Using Filtering Scores on Spark
Kyoungsoo Bok,
Minyoung Kim,
Hyeonbyeong Lee
et al.
Abstract:As various services have been generating large-scale graphs to represent multiple relationships between objects, studies have been conducted to obtain subgraphs with particular patterns. In this paper, we propose a distributed query processing method to efficiently search a subgraph for a large graph on Spark. To reduce unnecessary processing costs, the search order is determined by filtering scores using the probability distribution. The partitioned queries are searched in parallel in the distributed graph of… Show more
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