Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks—vertices (dots) and edges (lines connecting them)—has been an invaluable way to ...

It might not be as bright and shiny as some of the other topics that we've seen here, but there's no denying that the work of Julian Shun and his team is going to be applicable to a lot of the ...

Dr. Da Yan, Assistant Professor, has published a survey entitled "Big Graph Analytics Platforms" in the journal Foundations and Trends® in Databases. Dr. Yan worked with collaborators Dr. Yingyi Bu ...

Social networks transformed the Internet into a complex web of relationships; social graph analysis offers a way to understand those relationships Social graph models are powerful enablers for ...

David Conlon and Asaf Ferber have raised the lower bound for multicolor “Ramsey numbers,” which quantify how big graphs can get before patterns inevitably emerge. “There is no absolute randomness in ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...

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Grochow is among a growing chorus of researchers who point out that when it comes to finding connections in big data, graph theory has its limits. A graph represents every relationship as a dyad, or ...