We survey foundational features underlying modern graph query languages. We first
discuss two popular graph data models: edge-labelled graphs, where nodes are connected …

Query languages for graph databases started to be investigated some 25 years ago. With
much current data, such as linked data on the Web and social network data, being graph …

We report on a community effort between industry and academia to shape the future of
graph query languages. We argue that existing graph database management systems …

Graph databases have received much attention as of late due to numerous applications in
which data is naturally viewed as a graph; these include social networks, RDF and the …

Graph databases have gained renewed interest in the last years, due to its applications in
areas such as the Semantic Web and Social Networks Analysis. We study the problem of …

Graph data modeling and querying arises in many practical application domains such as
social and biological networks where the primary focus is on concepts and their …

With the prevalence of graph data in a variety of domains, there is an increasing need for a
language to query and manipulate graphs with heterogeneous attributes and structures. We …

The dramatic proliferation of sophisticated networks has resulted in a growing need for
supporting effective querying and mining methods over such large-scale graph-structured …

Graph data models received much attention lately due to applications in social networks,
semantic web, biological databases and other areas. Typical query languages for graph …

Graph data appears in a variety of application domains, and many uses of it, such as
querying, matching, and transforming data, naturally result in incompletely specified graph …