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Graph database

Known as: Comparison of graph database software, Graph databases, GraphDB 
In computing, a graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store… Expand
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ACIDAllegroGraphApache SparkApplication programming interface
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
A comparison of a graph database and a relational database: a data provenance perspective
Relational databases have been around for many decades and are the database technology of choice for most traditional data… Expand
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Highly Cited
2010
Highly Cited
2010
HyperGraphDB: A Generalized Graph Database
We present HyperGraphDB, a novel graph database based on generalized hypergraphs where hyperedges can contain other hyperedges… Expand
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Highly Cited
2008
Highly Cited
2008
Freebase: a collaboratively created graph database for structuring human knowledge
Freebase is a practical, scalable tuple database used to structure general human knowledge. The data in Freebase is… Expand
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Highly Cited
2008
Highly Cited
2008
Graphs-at-a-time: query language and access methods for graph databases
With the prevalence of graph data in a variety of domains, there is an increasing need for a language to query and manipulate… Expand
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Highly Cited
2007
Highly Cited
2007
Fg-index: towards verification-free query processing on graph databases
Graphs are prevalently used to model the relationships between objects in various domains. With the increasing usage of graph… Expand
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Highly Cited
2007
Highly Cited
2007
Graph Database Indexing Using Structured Graph Decomposition
We introduce a novel method of indexing graph databases in order to facilitate subgraph isomorphism and similarity queries. The… Expand
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Highly Cited
2005
Highly Cited
2005
Substructure similarity search in graph databases
Advanced database systems face a great challenge raised by the emergence of massive, complex structural data in bioinformatics… Expand
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Highly Cited
2004
Highly Cited
2004
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such… Expand
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Highly Cited
2002
Highly Cited
2002
gSpan: graph-based substructure pattern mining
We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called… Expand
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Highly Cited
1989
Highly Cited
1989
Finding Regular Simple Paths in Graph Databases
We consider the following problem: given a labelled directed graph $G$ and a regular expression $R$, find all pairs of nodes… Expand
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