Results 11 to 20 of about 272,337 (306)
CoRR, 2022 Graph databases (GDBs) enable processing and analysis of unstructured, complex, rich, and usually vast graph datasets. Despite the large significance of GDBs in both academia and industry, little effort has been made into integrating them with the predictive power of graph neural networks (GNNs).
Maciej Besta +7 more
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Extended Property-level k-vertex Cardinality Constraints Model for Graph Databases
Journal of King Saud University: Computer and Information Sciences, 2023 Graph databases are nowadays considered the most appropriate solution for highly connected domains. Nevertheless, the lack of a fixed schema perplexes the implementation of business rules and inhibits the usage of graph database technology in practical ...
Martina Šestak, Muhamed Turkanović
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Semantic acyclicity on graph databases [PDF]
Proceedings of the 32nd ACM SIGMOD-SIGACT-SIGAI symposium on Principles of database systems, 2013 Summary: It is known that unions of acyclic conjunctive queries (CQs) can be evaluated in linear time, as opposed to arbitrary CQs, for which the evaluation problem is NP-complete. It follows from techniques in the area of constraint-satisfaction problems that semantically acyclic unions of CQs -- i.e., unions of CQs that are equivalent to a union of ...
Pablo Barceló Baeza +2 more
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The Application of Graph in BIM/GIS Integration
Buildings, 2022 Information exchange between building information modelling (BIM) and geographic information system (GIS) is problematic, especially in terms of semantic information.
Junxiang Zhu +5 more
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Managing 3D GIS Data for Indoor Environment Using Property Graph Database
IEEE Access, 2023 With the diversification of three-dimensional (3D) urban space data sources and data collection methods, the Open Geospatial Consortium published 3D spatial data standards in Geography Markup Language (GML).
Hanme Jang, Kiyun Yu, Seula Park
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i-DATAQUEST : a Proposal for a Manufacturing Data Query System Based on a Graph [PDF]
, 2020 During the manufacturing product life cycle, an increasing volume of data is generated and stored in distributed resources. These data are heterogeneous, explicitly and implicitly linked and they could be structured and unstructured.
Antoine Mallet +9 more
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AN EMPIRICAL COMPARISON OF NEO4J AND TIGERGRAPH DATABASES FOR NETWORK CENTRALITY
Science Journal of University of Zakho, 2023 Graph databases have recently gained a lot of attention in areas where the relationships between data and the data itself are equally important, like the semantic web, social networks, and biological networks.
Bahzad Chicho +1 more
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A Graph Rewriting Visual Language for Database Programming [PDF]
, 1997 Textual database programming languages are computationally complete, but have the disadvantage of giving the user a non-intuitive view of the database information that is being manipulated.
Rodgers, Peter +3 more
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Experimental Evaluation of Graph Databases: JanusGraph, Nebula Graph, Neo4j, and TigerGraph
Applied Sciences, 2023 NoSQL databases were created with the primary goal of addressing the shortcomings in the efficiency of relational databases, and can be of four types: document, column, key-value, and graph databases.
Jéssica Monteiro +2 more
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A logical approach to graph databases
Journal of Logical and Algebraic Methods in Programming, 2022 Peer ...
Pino Blanco, Elvira +3 more
openaire +4 more sources