Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory.

A new algorithm efficiently solves the graph isomorphism problem, which has puzzled computer scientists for decades.

In such cases, the fastest known shortest-path algorithm doesn’t work. For decades, fast algorithms for finding shortest paths on negative-weight graphs have remained elusive.

Graph algorithms and sparsification techniques have emerged as pivotal tools in the analysis and optimisation of complex networked systems.

Then, it runs the graph algorithm on that small graph, with the algorithm treating the small graph as a portion of a larger, synthetic graph that does not exist. This method, the KAIST researchers ...

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 ...