The hypernode model and its associated query language
JCIT Proceedings of the fifth Jerusalem conference on Information technology
An object-oriented data model formalised through hypergraphs
Data & Knowledge Engineering
Gram: a graph data model and query languages
ECHT '92 Proceedings of the ACM conference on Hypertext
A database perspective on knowledge discovery
Communications of the ACM
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Journal of Parallel and Distributed Computing
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A graph-oriented object database model
PODS '90 Proceedings of the ninth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
Complete Mining of Frequent Patterns from Graphs: Mining Graph Data
Machine Learning
Typing Graph-Manipulation Operations
ICDT '03 Proceedings of the 9th International Conference on Database Theory
GraphDB: Modeling and Querying Graphs in Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Graph Query Language and Its Query Processing
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Coherent closed quasi-clique discovery from large dense graph databases
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A query language for biological networks
Bioinformatics
Survey of graph database models
ACM Computing Surveys (CSUR)
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Proceedings of the 2008 ACM SIGMOD international conference on Management of data
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Proceedings of the Eighth Workshop on Mining and Learning with Graphs
A query language for analyzing business processes execution
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ACM SIGMOD Record
Regular path queries on large graphs
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
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WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Proceedings of the 32nd symposium on Principles of database systems
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Proceedings of the 22nd international conference on World Wide Web
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With more and more large networks becoming available, mining and querying such networks are increasingly important tasks which are not being supported by database models and querying languages. This paper wants to alleviate this situation by proposing a data model and a query language for facilitating the analysis of networks. Key features include support for executing external tools on the networks, flexible contexts on the network each resulting in a different graph, primitives for querying subgraphs (including paths) and transforming graphs. The data model provides for a closure property, in which the output of every query can be stored in the database and used for further querying.