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Functional querying in graph databases [PDF]
Vietnam Journal of Computer Science, 2017 The paper is focused on a functional querying in graph databases. We consider labelled property graph model and mention also the graph model behind XML databases. An attention is devoted to functional modelling of graph databases both at a conceptual and
Jaroslav Pokorný
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Mapping RDF Databases to Property Graph Databases [PDF]
IEEE Access, 2020 RDF triplestores and property graph databases are two approaches for data management which are based on modeling, storing and querying graph-like data. In spite of such common principle, they present special features that complicate the task of database ...
Renzo Angles +2 more
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Journal of Advanced Engineering and Computation, 2017 Comparing graph databases with traditional,e.g., relational databases, some important database features are often missing there. Particularly, a graph database schema including integrity constraints is mostly not explicitly defined, also a conceptual ...
Jaroslav Pokorny
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Storage and Query of Drug Knowledge Graphs Using Distributed Graph Databases: A Case Study [PDF]
BioengineeringBackground: Distributed graph databases are a promising method for storing and conducting complex pathway queries on large-scale drug knowledge graphs to support drug research. However, there is a research gap in evaluating drug knowledge graphs’ storage
Xingjian Han, Yu Tian
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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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EPJ Web of Conferences, 2020 Data in High Energy Physics (HEP) usually consist of complext complex data structures stored in relational databases and files with internal schema.
Hřivnáč Julius
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Graph databases in systems biology: a systematic review [PDF]
Briefings in BioinformaticsAlexander Mazein +2 more
exaly +2 more sources
Graph Databases for Information Retrieval [PDF]
Lecture Notes in Computer Science, 2020 Kamphuis C.
exaly +1 more source
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
openaire +3 more sources
Analysing River Systems with Time Series Data Using Path Queries in Graph Databases
ISPRS International Journal of Geo-Information, 2023 Transportation networks are used in many application areas, like traffic control or river monitoring. For this purpose, sensors are placed in strategic points in the network and they send their data to a central location for storage, viewing and analysis.
Erik Bollen +4 more
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