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

Numerous irregular graph datasets, for example social networks or web graphs, may contain
even trillions of edges. Often, their structure changes over time and they have domain …

The Cypher property graph query language is an evolving language, originally designed
and implemented as part of the Neo4j graph database, and it is currently used by several …

As graph databases become widespread, the International Organization for Standardization
(ISO) and International Electrotechnical Commission (IEC) have approved a project to create …

Programs that take highly-structured files as inputs normally process inputs in stages: syntax
parsing, semantic checking, and application execution. Deep bugs are often hidden in the …

Most of the current graph database systems have been designed to support property graphs.
Surprisingly, there is no standard specification of the database model behind such systems …

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 processing is becoming increasingly prevalent across many application domains. In
spite of this prevalence, there is little research about how graphs are actually used in …

Abstract GQL (Graph Query Language) is being developed as a new ISO standard for graph
query languages to play the same role for graph databases as SQL plays for relational. In …

Knowledge graphs gained popularity in recent years and have been useful for concept
visualization and contextual information retrieval in various applications. However …