Engineers sometimes have to analyse data which shows a repeating pattern. Plotting a graph of the data is often helpful as it shows a picture of the pattern. This pattern may sometimes go on and on in ...

A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among ...

Graph-based pattern mining encompasses a suite of computational methods designed to discover recurring substructures within graph-structured data. These techniques involve systematically enumerating ...

Graph pattern matching constitutes the identification of specific substructures within a larger network, a task of central importance across disciplines as diverse as social media analysis, ...

As the perils of cyber security breaches continue to plague industries, governments, and citizens throughout the world, the need to detect these infiltrating events, as well as identify their attack ...

StellarGraph has launched a series of new algorithms for network graph analysis to help discover patterns in data, work with larger data sets and speed up performance while reducing memory usage.