This ranges from transactional data, to website traffic and even social media posts. Predictive algorithms use this data to make inferences about what is likely to happen in the future.

what algorithms are we going to use, and how are we going to train these models? We’ve got the data in the graph system now and we’re starting to produce a beta phase of an application.

From here graph theory got expanded and generalized into relations between objects, finding use in fields from computer science and chemistry to biology and linguistics. Combined with algorithms ...

This is the case with an important problem in computer science called "graph isomorphism testing" whereby scientists use ...

A medical knowledge graph is a specific way that researchers can organize and display information for use in medical research ... 2012 as part of their search algorithm. Since then, medical ...

As a result, this new algorithm has revived interest in combinatorial approaches to other problems in graph theory. It remains to be seen which problems can be solved rapidly using purely ...

They proved that one of two things must be true: Either all problems that can be efficiently solved using randomness ... for a recent breakthrough in graph theory. Last year, three computer scientists ...

The PNNL algorithm is named Picasso—a nod to the painter's use of color and the use of the term in graph analytics. The team tested graph coloring in simulations of large hydrogen model systems ...