Results 11 to 20 of about 3,576,657 (341)
Conversion Method from Relational Database to Graph Database [PDF]
Jisuanji kexue, 2021 Due to the differences between the storage mode of relational database and graph database,during the process of transforming data in relational database to graph database,it is necessary to solve the main problems of edge definition,vertex uniqueness and
E Hai-hong, HAN Peng-hao, SONG Mei-na
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MULTI-RESOLUTION REPRESENTATION USING GRAPH DATABASE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Multi-resolution representation has always been an important and popular data source for many research and applications, such as navigation, land cover, map generation, media event forecasting, etc.
Y. Huang, E. Stefanakis
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The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores [PDF]
International Conference for High Performance Computing, Networking, Storage and Analysis, 2023 Graph databases (GDBs) are crucial in academic and industry applications. The key challenges in developing GDBs are achieving high performance, scalability, programmability, and portability.
Maciej Besta +11 more
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GPU-based Graph Analysis and Computation Method for Graph Database [PDF]
Jisuanji gongcheng, 2021 Most of the existing graph databases use CPU-based distributed graph computing engines(such as GraphX) for online analysis operations, but the limited number of CPU cores will lead to low computing efficiency, and the synchronization between clusters ...
QIAN Shangyun, SHAO Zhiyuan, ZHENG Ran, CHEN Jilin
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Nebula Graph: An open source distributed graph database [PDF]
arXiv.org, 2022 This paper introduces the recent work of Nebula Graph, an open-source, distributed, scalable, and native graph database. We present a system design trade-off and a comprehensive overview of Nebula Graph internals, including graph data models, partitioning
Min Wu +4 more
semanticscholar +1 more source
Testing Graph Database Engines via Query Partitioning
International Symposium on Software Testing and Analysis, 2023 Graph Database Management Systems (GDBMSs) store data as graphs and allow the efficient querying of nodes and their relationships. Logic bugs are bugs that cause a GDBMS to return an incorrect result for a given query (e.g., by returning incorrect nodes ...
Matteo Kamm +3 more
semanticscholar +1 more source
Columnar Storage and List-based Processing for Graph Database Management Systems [PDF]
Proceedings of the VLDB Endowment, 2021 We revisit column-oriented storage and query processing techniques in the context of contemporary graph database management systems (GDBMSs).
Pranjal Gupta, A. Mhedhbi, S. Salihoglu
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Modelling Metadata and Data from Censuses and Surveys with Graph Databases
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Relational database users are switching to non-relational databases because non-relational databases are better able to handle dynamic data storage. One of the institutions that require dynamic data storage is Statistics Indonesia (BPS).
Alya Faradila, Lutfi Rahmatuti Maghfiroh
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Representing Paths in Graph Database Pattern Matching
Proceedings of the VLDB Endowment, 2023 Modern graph database query languages such as GQL, SQL/PGQ, and their academic predecessor G-Core promote paths to first-class citizens in the sense that their pattern matching facility can return paths , as opposed to only nodes and edges.
W. Martens +5 more
semanticscholar +1 more source
MillenniumDB: An Open-Source Graph Database System
Data Intelligence, 2023 In this systems paper, we present MillenniumDB: a novel graph database engine that is modular, persistent, and open source. MillenniumDB is based on a graph data model, which we call domain graphs, that provides a simple abstraction upon which a variety ...
D. Vrgoč +9 more
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