Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Then it begins to look for an isomorphism by making an initial guess about which nodes in the second graph might correspond to these nodes, and it paints those nodes the same colors as their ...

After putting the finishing touches on their shortest-paths algorithm, they showed that it could also work as a fast algorithm for pinpointing negative cycles. Virtually no graph was beyond its reach.

If you follow the media’s meme of the day, hoping to trade on news cycles or fundamental data releases, you’re probably frequently frustrated.

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery.

Picasso slims the data To lighten the computational burden, the PNNL team turned to a type of algorithm known as graph coloring—a specialty of Ferdous and Halappanavar.

On modern computers, this algorithm can efficiently find Eulerian cycles in huge balanced graphs having billions of nodes, thus avoiding the quagmire of NP -Completeness.

The team proposed Graph-Decomposed k -NN Searching Algorithm to improve the time-efficiency of nearest nodes searching. In the research, A graph-decomposed tree is constructed from road network.

Knowledge Graph Algorithm Update Summer 2019 (a.k.a. Budapest) In July/August 2019, two things changed with Google's Knowledge Graph API that may be a turning point both for Google and for us as ...