Triangle counting stands as a fundamental task in graph theory and network science, offering critical insights into the structural properties of complex systems. By enumerating all sets of three ...

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 ...

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 ...

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 ...

Graph Neural Networks (GNNs) have gained widespread adoption in recommendation systems. When it comes to processing large graphs, GNNs may encounter the scalability issue stemming from their ...

Skill-based organisations are rapidly becoming the new standard. Companies across industries now realise that putting skills at the core of their talent strategies is no longer just an option—rather ...

This idea holds significant weight when discussing the production of specific results with generative AI, and harvesting the latest trends. Given that many AI systems are general-purpose, it prompts ...

Basically, Xandr needed the “brain power” of graph to navigate, connect, and simplify its multiple large and complex datasets. Xandr built an identity graph with more than five billion vertices and ...