An Algorithm for Subgraph Isomorphism
Journal of the ACM (JACM)
Algorithmics and applications of tree and graph searching
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
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VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Taming verification hardness: an efficient algorithm for testing subgraph isomorphism
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Proceedings of the VLDB Endowment
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Proceedings of the VLDB Endowment
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Proceedings of the VLDB Endowment
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ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
A flexible graph pattern matching framework via indexing
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Fast graph query processing with a low-cost index
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient Graph Similarity Joins with Edit Distance Constraints
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
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We study a new type of graph queries, which injectively maps its edges to paths of the graphs in a given database, where the length of each path is constrained by a given threshold specified by the weight of the corresponding matching edge. We give important applications of the new graph query and identify new challenges of processing such a query. Then, we devise the cost model of the branch-and-bound algorithm framework for processing the graph query, and propose an efficient algorithm to minimize the cost overhead. We also develop three indexing techniques to efficiently answer the queries online. Finally, we verify the efficiency of our proposed indexes with extensive experiments on large real and synthetic datasets.