Graph analysis is not a new technology, but many analytics professionals remain unfamiliar with it. One reason for this is that most people learn to associate data modeling with only one structure ...

Sure, there are graph databases like Neo4j, but graph analysis or graph search may be more useful, depending on the sorts of data relationships you need to explore ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Graph analysis was able to do what million SQL queries could not. There is a query language for graphs, GraphQL, which is somewhat similar to SQL and easy to learn, provide the query builder ...

Graph analytics is a set of analytic techniques that shows how entities such as people, places and things are related to each other. Unlike traditional data analytics, which is slow and unable to ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

With a graph model, that analysis is a cinch. Techcrunch event. Save $450 on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization.