Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...

Graph connectivity and Hamiltonian properties lie at the heart of both theoretical combinatorics and practical network design. Connectivity quantifies the robustness of a network by the minimum number ...

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...

StellarGraph has launched a series of new algorithms for network graph analysis to help discover patterns in data, work with larger data sets and speed up performance while reducing memory usage.