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Modal Schema Graphs for Graph Databases
2019Although 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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Investigative Graph Search using Graph Databases
2019 First International Conference on Graph Computing (GC), 2019Identification and tracking of individuals or groups perpetrating latent or emergent behaviors are significant in home-land security, cyber security, behavioral health, and consumer analytics. Graphs provide an effective formal mechanism to capture the relationships among individuals of interest as well as their behavior patterns.
Shashika Ranga Muramudalige +3 more
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Attack Graph Implementation in Graph Database
2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY), 2022Gabriella Simon-Nagy +2 more
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4th ACM Europe Summer School on Science: Towards building the Data Science Stack, 2023
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Graph Pattern Index for Neo4j Graph Databases
2019Nowadays graphs have become very popular in domains like social media analytics, healthcare, natural sciences, BI, networking, etc. Graph databases (GDB) allow simple and rapid retrieval of complex graph structures that are difficult to model in traditional information systems based on a relational DBMS.
Jaroslav Pokorný +2 more
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A Graph Database for Life Cycle Inventory Using Neo4j
Journal of Cleaner Production, 2023Mohamed Saad Mahany Mahmoud +1 more
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House of Graphs 2.0: A Database of Interesting Graphs and More
Discrete Applied Mathematics, 2023Jan Goedgebeur, Kris Coolsaet
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