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Integration of Relational and Graph Databases Functionally
In today’s multi-model database world there is an effort to integrate databases expressed in different data models. The aim of the article is to show possibilities of integration of relational and graph databases with the help of a functional data model ...
Pokorný Jaroslav
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Investigations on path indexing for graph databases [PDF]
Graph databases have become an increasingly popular choice for the management of the massive network data sets arising in many contemporary applications.
Desprez, Frederic +8 more
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Usage of graph databases for social graph modeling
This article is devoted to graph database management systems. The main characteristics and capabilities of those systems have been contemplated. The problems that may occur during the social network development have been selected to be solved using a ...
Lazurik Valentina M. +1 more
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Relational database management systems have been used for storing data for a long time.However, these systems are insufficient to analyze the large and complex structure of the data.
Ramazan Altın, A. Cumhur Kınacı
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Adversarial Learned Molecular Graph Inference and Generation
Recent methods for generating novel molecules use graph representations of molecules and employ various forms of graph convolutional neural networks for inference.
Pölsterl, Sebastian +1 more
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In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Introduction to Graph Databases
The use of graphs in analytic environments is getting more and more widespread, with applications in many different environments like social network analysis, fraud detection, industrial management, knowledge analysis, etc. Graph databases are one important solution to consider in the management of large datasets.
Larriba Pey, Josep +2 more
openaire +3 more sources
Frequent Subgraph Mining in Outerplanar Graphs [PDF]
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining problem for tree datasets can be solved in incremental polynomial time, it ...
Horvath, Tamas +2 more
core +1 more source
Risk-Averse Matchings over Uncertain Graph Databases
A large number of applications such as querying sensor networks, and analyzing protein-protein interaction (PPI) networks, rely on mining uncertain graph and hypergraph databases. In this work we study the following problem: given an uncertain, weighted (
A Khan +18 more
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propnet: A Knowledge Graph for Materials Science [PDF]
Discovering the ideal material for a new application involves determining its numerous properties, such as electronic, mechanical, or thermodynamic, to match those of its desired application.
Dwaraknath, S +7 more
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