Answering subgraph queries over large graphs

  • Authors:
  • Weiguo Zheng;Lei Zou;Dongyan Zhao

  • Affiliations:
  • Peking University, Beijing, China;Peking University, Beijing, China;Peking University, Beijing, China

  • Venue:
  • WAIM'11 Proceedings of the 12th international conference on Web-age information management
  • Year:
  • 2011

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Abstract

Recently, subgraph queries over large graph-structured data have attracted lots of attentions. Most of the recent algorithms proposed to solve this problem apply the structural features of graphs to construct the index, such as path, tree and subgraph. However, there is no a solid theory foundation of which structure is the best one to construct the index. What is more, the cost of mining these structures is rather expensive. In this paper, we present a high performance graph query algorithm, SMS, based on the simple yet effective neighborhood structure. To further improve the query performance, a graph partition solution is proposed and the efficient codes of vertices and blocks are carefully designed. Extensive experimental studies demonstrate the effectiveness and scalability of our algorithm in the issue of subgraph queries on large graph-structured data.