Results 71 to 80 of about 1,352 (164)
Outcome Analysis Using Neo4j Graph Database
Databases are an integral part of a computing system and users heavily rely on the services they provide. When interact with a computing system, we expect that data be stored for future use, that the data is able to be looked up fastly, and we can perform complex queries against the data stored in the database.
Mary Femy P.F +2 more
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Unveiling the Potential of Neo4j and Retrieval-Augmented ...
Nakul Nambiar, Amir Aryani
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Dealing with Big Data and Network Analysis Using Neo4j
In this lesson we will learn how to use a graph database to store and analyze complex networked information. Networks are all around us. Social scientists use networks to better understand how people are connected.
Jon MacKay
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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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Robust Text-to-Cypher Using Combination of BERT, GraphSAGE, and Transformer (CoBGT) Model
Graph databases have become essential for managing and analyzing complex data relationships, with Neo4j emerging as a leading player in this domain. Neo4j, a high-performance NoSQL graph database, excels in efficiently handling connected data, offering ...
Quoc-Bao-Huy Tran +2 more
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NoSQL data stores are becoming more and more popular. Graph databases are one of this kind of data stores. In this paper we present an overview of the implementation of snapshot isolation for Neo4j, a very popular graph database.
Patiño Martínez, Marta +5 more
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phyloDB: A framework for large-scale phylogenetic analysis of sequence based typing data
PHYLODB is a modular and extensible framework for large-scale phylogenetic analyses of sequence based typing data, which are essential for understanding epidemics evolution. It relies on the Neo4j graph database for data storage and processing, providing
Bruno Lourenço +3 more
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This study tackles challenges in server O&M and network security by proposing an ALBERTbased knowledge graph framework. Traditional methods face low information correlation, incomplete entity extraction, and inefficient decision-making.
Ruizhi Zhang +4 more
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