A new comparative study shows that the best way to partition a distributed graph database depends on whether the graph is ...

Researchers combined a graph autoencoder, an attention-equipped graph convolutional network, and a slime-mould-inspired ...

Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory. This past October, as Jacob Holm and Eva Rotenberg were thumbing through a ...

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 ...

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 ...

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 ...

Like the core algorithm, Google’s Knowledge Graph periodically updates. But little has been known about how, when, and what it means — until now. I believe these updates consist of three things: ...

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 ...