Computer scientists have developed an efficient enumeration algorithm called KPC that speeds up the discovery of complex ...

Researchers have developed enhanced Markov clustering, integrating reverse nearest-neighbor graph construction with adaptive ...

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 ...

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 ...

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.

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 ...

This book offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph based ...

Graph colouring, the assignment of colours to the vertices of a graph so that no two adjacent vertices share the same colour, represents a canonical NP-hard combinatorial optimisation problem with ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. THE BIT COMPLEXITY OF PROBABILISTIC LEADER ELECTION ON A UNIDIRECTIONAL RING 1 ...