Graph labeling: The process of assigning identifiers, often numerical, to the elements of a graph (vertices or edges) under specific constraints to facilitate problem solving in various applications.

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee ...

By applying a well-known graph algorithm to the XRP ledger data, we look at the top 10 XRP accounts by page rank over the past years. PageRank is named after Google co-founder Larry Page and is ...

The new algorithm checks planarity in a number of steps proportional to the cube of the logarithm of the number of nodes in the graph — an exponential improvement. Holm and Rotenberg, a computer ...

For decades, computer scientists working on negative-weight graphs tried to match the speed of Dijkstra’s algorithm with similar “combinatorial” algorithms. These involve discrete operations — like ...

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 ...

This is what a machine learning algorithm looks like, according to Nigel Toon, CEO of Bristol start-up Graphcore. The false colour image has been created by the firm’s graph compiler software, which ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...