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

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 ...

GPhase, a new haplotype-resolved scaffolding algorithm, jointly leverages assembly graphs and 3C signals to construct accurate chromosome-level assemblies for polyploid genomes, reducing missing ...

Graph-based algorithms form the backbone of contemporary social network analysis by modelling individuals or entities as vertices and their relationships as edges in a graph. This abstraction enables ...

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 ...

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 ...

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 ...

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 ...

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.