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An Algorithm for Subgraph Isomorphism
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A framework for constructing features and models for intrusion detection systems
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Algorithmics and applications of tree and graph searching
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SEuS: Structure Extraction Using Summaries
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ANF: a fast and scalable tool for data mining in massive graphs
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gSpan: Graph-Based Substructure Pattern Mining
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Logic Induction of Valid Behavior Specifications for Intrusion Detection
SP '00 Proceedings of the 2000 IEEE Symposium on Security and Privacy
Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Graph indexing: a frequent structure-based approach
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
SPIN: mining maximal frequent subgraphs from graph databases
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A quickstart in frequent structure mining can make a difference
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A (Sub)Graph Isomorphism Algorithm for Matching Large Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Substructure similarity search in graph databases
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Discovering large dense subgraphs in massive graphs
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Alignment of metabolic pathways
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Finding Frequent Patterns in a Large Sparse Graph*
Data Mining and Knowledge Discovery
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ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Searching Substructures with Superimposed Distance
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Fg-index: towards verification-free query processing on graph databases
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VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Subgraph Support in a Single Large Graph
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
A novel spectral coding in a large graph database
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Graphs-at-a-time: query language and access methods for graph databases
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
TALE: A Tool for Approximate Large Graph Matching
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
QNet: a tool for querying protein interaction networks
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Pairwise global alignment of protein interaction networks by matching neighborhood topology
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
What is frequent in a single graph?
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Pairwise local alignment of protein interaction networks guided by models of evolution
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
SUMMA: subgraph matching in massive graphs
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
DESSIN: mining dense subgraph patterns in a single graph
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
DSI: a method for indexing large graphs using distance set
WAIM'10 Proceedings of the 11th international conference on Web-age information management
On graph query optimization in large networks
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SAPPER: subgraph indexing and approximate matching in large graphs
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Bit-vector algorithms for binary constraint satisfaction and subgraph isomorphism
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Structure and attribute index for approximate graph matching in large graphs
Information Systems
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DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
A flexible graph pattern matching framework via indexing
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Subgraph search over massive disk resident graphs
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
BR-index: an indexing structure for subgraph matching in very large dynamic graphs
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
A path-oriented RDF index for keyword search query processing
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Answering subgraph queries over large graphs
WAIM'11 Proceedings of the 12th international conference on Web-age information management
DELTA: indexing and querying multi-labeled graphs
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CP-index: on the efficient indexing of large graphs
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NOVA: a novel and efficient framework for finding subgraph isomorphism mappings in large graphs
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TreeSpan: efficiently computing similarity all-matching
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AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
STUN: Spatio-Temporal Uncertain (Social) Networks
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ACM Transactions on the Web (TWEB)
SQBC: An efficient subgraph matching method over large and dense graphs
Information Sciences: an International Journal
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Information Systems
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Currently, a huge amount of biological data can be naturally represented by graphs, e.g., protein interaction networks, gene regulatory networks, etc. The need for indexing large graphs is an urgent research problem of great practical importance. The main challenge is size. Each graph may contain thousands (or more) vertices. Most of the previous work focuses on indexing a set of small or medium sized database graphs (with only tens of vertices) and finding whether a query graph occurs in any of these. In this paper, we are interested in finding all the matches of a query graph in a given large graph of thousands of vertices, which is a very important task in many biological applications. This increases the complexity significantly. We propose a novel distance measurement which reintroduces the idea of frequent substructures in a single large graph. We devise the novel structure distance based approach (GADDI) to efficiently find matches of the query graph. GADDI is further optimized by the use of a dynamic matching scheme to minimize redundant calculations. Last but not least, a number of real and synthetic data sets are used to evaluate the efficiency and scalability of our proposed method.