As one of the leads, Changwoo Min, tells The Next Platform, even though terascale graph processing is no longer unheard of, finding ways to make it efficient and high performance is where the real ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

Critical node detection investigates the identification of influential nodes whose removal, either accidental or deliberate, significantly diminishes network connectivity and overall performance.

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

Microsoft's annual internal TechFest research showcase kicks off on March 6. So what better time to check out Trinity, a graph database research project, from Microsoft Research?