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

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

And compute power has increased a trillion-fold, which makes it easier to recreate these algorithms at scale. Knowledge graphs and graph database technology are necessary to better understand data.

Graph algorithms constitute a pivotal component of modern computational science, underpinning diverse applications ranging from transportation optimisation and telecommunications to social network ...

Graph databases use graph structures for semantic queries, providing a more flexible and efficient way to manage relationships between data.

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

In addition to keeping close tabs on high performance metrics like the Graph500, which pits Top500 supercomputing sites against one another in an edge traverse-a-thon, another effort to make graph ...

Link analysis algorithms are then performed on the reduced web graph and generate the resulting authority ranking.” This particular approach does not rely on the anchor text or the surrounding text.

From the 18th century to today, a number of graph algorithms have been developed. Path finding, centrality, community detection and similarity are some of the main classes of graph algorithms.