DC FieldValueLanguage
dc.contributor.authorTsolakidis, Stratos-
dc.contributor.authorTsolakidis, Anastasios-
dc.contributor.authorTriperina, Evangelia-
dc.contributor.authorKaranikolas, Nikitas N.-
dc.contributor.authorSkourlas, Christos-
dc.date.accessioned2025-03-06T08:01:54Z-
dc.date.available2025-03-06T08:01:54Z-
dc.date.issued2024-12-
dc.identifiergoogle_scholar-CFyW7WUAAAAJ:GtLg2Ama23sC-
dc.identifier.issn2623-4629-
dc.identifier.otherCFyW7WUAAAAJ:GtLg2Ama23sC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2990-
dc.description.abstractPurpose-Nowadays, social networks, online media sharing and e-commerce platforms generate a vast amount of data, which, among other information, capture the interactions among the users. Storing, analyzing and exploiting the aforementioned information allow the exploration of hidden and unstructured patterns. Design/methodology/approach-The associations among the users during their visit in a platform construct a graph network which capture all the generated data. Graph Neural Networks are applied in these data models, to make suggestions based on their topology. In the presented research, Graph Databases and Graph Neural Networks are utilized for data exploration and analysis in graph databases networks. Findings-In this study, we compare the use of graph databases with relational databases for large-scale databases and we present that the use of graph neural networks over graph databases can be used efficiently to apply machine learning tasks for those datasets. Originality/value-Thus, in this paper, we present the benefits of applying graph neural networks and graph databases for data analysis in large-scale data from social networks. Also, we examine to the efficiency of using graph databases over relational databases for analyzing those networks.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Integrated Information Managementen_US
dc.sourceJournal of Integrated Information Management 9 (2), 24-32, 2024-
dc.titleGraph databases and graph neural networksen_US
dc.typeArticleen_US
dc.identifier.doi10.26265/jiim.v9i2.39198en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume9en_US
dc.relation.issue2en_US
dc.identifier.spage24en_US
dc.identifier.epage32en_US
dc.linkhttps://ejournals.epublishing.ekt.gr/index.php/jiim/article/view/39198en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0001-7364-4542-
crisitem.author.orcid0000-0003-4282-2259-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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