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Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets Using Graph Machine Learning. [PDF]
Genes (Basel)Sivarajkumar S +9 more
europepmc +1 more source
Assembly and reasoning over semantic mappings at scale for biomedical data integration. [PDF]
BioinformaticsHoyt CT, Karis K, Gyori BM.
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Designing Graph Databases With GRAPHED
Journal of Database Management, 2019In recent years, graph database systems have become very popular and been deployed mainly in situations where the relationship between data is significant, such as in social networks. Although they do not require a particular schema design, a data model contributes to their consistency.
Gustavo Cordeiro Galvão Van Erven +5 more
openaire +1 more source
IEEE Engineering in Medicine and Biology Magazine, 1995
We have investigated using graphs as the foundation for database systems by developing a graph-based DBMS. We have demonstrated that: 1. Graph-based representations are useful for representing genome data. 2. A graph data model tailored to the requirements of genome data can be used as the basis of a database management system. 3.
M. Graves, E.R. Bergeman, C.B. Lawrence
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We have investigated using graphs as the foundation for database systems by developing a graph-based DBMS. We have demonstrated that: 1. Graph-based representations are useful for representing genome data. 2. A graph data model tailored to the requirements of genome data can be used as the basis of a database management system. 3.
M. Graves, E.R. Bergeman, C.B. Lawrence
openaire +1 more source
2000
Graph data is an emerging model for representing a variety of database contexts ranging from object-oriented databases to hypertext data. Also many of the recursive queries that arise in relational databases are, in practice, graph traversals. In this paper we present a language for searching graph-like databases.
FLESCA, Sergio, GRECO, Sergio
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Graph data is an emerging model for representing a variety of database contexts ranging from object-oriented databases to hypertext data. Also many of the recursive queries that arise in relational databases are, in practice, graph traversals. In this paper we present a language for searching graph-like databases.
FLESCA, Sergio, GRECO, Sergio
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Graph Matching in Graph-Oriented Databases
2021Modern graph database management systems use graph structures for semantic queries with nodes, edges, and properties to connect to and store information. Due to their schema-less nature, inappropriate data migration and manipulation can lead to severe data loss during the data query process.
Soumaya Boukettaya +2 more
openaire +1 more source
2011
Recently, there has been a lot of interest in the application of graphs in different domains. Graphs have been widely used for data modeling in different application domains such as: chemical compounds, protein networks, social networks, and Semantic Web.
Sherif Sakr, Ghazi Al-Naymat
openaire +1 more source
Recently, there has been a lot of interest in the application of graphs in different domains. Graphs have been widely used for data modeling in different application domains such as: chemical compounds, protein networks, social networks, and Semantic Web.
Sherif Sakr, Ghazi Al-Naymat
openaire +1 more source