At their core, graph matching seeks to identify an optimal correspondence between the nodes of two graphs, while edit distance algorithms measure the minimum number of operations—such as ...

NEW YORK, May 29, 2019 /PRNewswire/ -- DHI Group, Inc. (NYSE: DHX) announced today that Dice, its leading career site for technology professionals, has launched their latest innovation, Candidate ...

“The new algorithm is a remarkable tour de force,” said Giuseppe Italiano, a computer scientist at Luiss University and a co-author of the 1996 paper describing what is now the second-fastest ...

Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network clear, but also to model structures and systems.

Google recently announced they are using a “neural matching” algorithm to better understand concepts. Google’s Danny Sullivan said is being used for 30% of search queries.