A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

Compared to other approaches, the team's algorithm can process input from nearly 50 times as many Pauli strings, or vertices, and more than 2,400 times as many relationships, or edges.

Babai’s proposed algorithm doesn’t bring graph isomorphism all the way into P, but it comes close. It is quasi-polynomial, he asserts, which means that for a graph with n nodes, the algorithm’s ...

Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time. This means that the increasing ...

The algorithm addresses something called the library sorting problem (more formally, the “list labeling” problem). The challenge is to devise a strategy for organizing books in some kind of sorted ...

How exactly Graph Search works has remained a bit of a mystery, but recently Facebook’s Engineering blog gave a no-holds-barred look at what makes Graph Search’s gears turn.

In 2004, a team of researchers found that the best any algorithm could do for the library sorting problem—in other words, the ultimate lower bound—was log n.

Graph technologies are predicted to be used in 80% of data and analytics innovations by 2025, according to research firm Gartner, up from just 10% this year. TigerGraph says that graphs will ...

Brief Description of Course Content. Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and ...

When asked to create a sorting algorithm, AlphaDev came up with one that was 70 per cent faster than the best for lists of five pieces of data and 1.7 per cent faster for lists of over 250,000 items.