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 value of graph-based big data can be unlocked by exploring the topology and metrics of
the networks they represent, and the computational approaches to this exploration take on …

Many real-world graphs, eg, social networks, biological networks, knowledge graphs,
naturally come with edge-labels, with different labels representing different relationships …

Amazon Neptune is a graph database service that supports two graph models: W3C's
Resource Description Framework (RDF) and Labeled Property Graphs (LPG). Customers …

Graph databases have received a lot of attention as they are particularly useful in many
applications such as social networks, life sciences and the semantic web. Various …

Graph model are increasingly popular among modern applications for its ability to model
complex relationships between entities. Users tend to query the data as a graph with graph …

There are two fundamental problems in regular simple path queries (RSPQs). One is the
reachability problem which asks whether there exists a simple path between the source and …

The analysis of graph data using graph database and distributed graph processing systems
has gained significant interest. However, relatively little effort has been devoted to preparing …

We introduce Object Graph Programming (OGO), which enables reading and modifying an
object graph (ie, the entire state of the object heap) via declarative queries. OGO models the …

The need to query complex interactions and relationships has motivated interest in property
graph database platforms. For some graph applications, graph views are required to …