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Graph Databases and Graph Neural Networks

Journal of Integrated Information Management
Purpose - 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.
Tsolakidis, Stratos +4 more
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Modal Schema Graphs for Graph Databases

2019
Although graph databases are conceived schema-less, additional knowledge about the data’s structure and/or semantics is beneficial in many graph database management tasks, from efficient storage, over query optimization, up to data integration. Today’s commonly used graph data models do not represent primal suspects regarding their lack of schema prior
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Introduction to Graph Databases

2015
With anything that’s worth learning, there’s always a bit of theory to go along with something more practical, and this book is no exception. Neo4j is the leading graph database (or at least that’s how they describe themselves, anyway), but what does that mean?
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Freebase: a collaboratively created graph database for structuring human knowledge