2. Graph traversal algorithms Finding vulnerabilities and misconfigurations requires traversing the graph to analyze relationships and permissions. This involves: ...

Graph-theoretic applications show up in network science, computer science, and data analysis. Because quantum walks naturally follow graph structures, they can uncover hidden features in complex ...

Graph Algorithms: Computational procedures designed to solve problems related to graph structures, encompassing processes such as traversal, shortest path determination, and network flow analysis.

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

TigerGraph supports three to more than 10 hops of traversal across a big graph, along with fast graph traversal speed and data updates. This combination of speed, deep traversals, and scalability ...

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.