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

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 …

With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …

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

Monitoring and troubleshooting distributed systems is notoriously difficult; potential problems
are complex, varied, and unpredictable. The monitoring and diagnosis tools commonly used …

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 …

With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …

We present TigerGraph, a graph database system built from the ground up to support
massively parallel computation of queries and analytics. TigerGraph's high-level query …

In this paper, we study the problem of label-constrained reachability (LCR) query which is
fundamental in many applications with directed edge-label graphs. Although the classical …

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 …