Random graph models provide a mathematical framework for capturing the structure and dynamics of complex networks by assigning probabilistic rules to vertex connections. Classical models such as the ...

Exponential random graph models (ERGMs) have emerged as a principal statistical framework for representing and analysing the formation of ties within social networks. By expressing the probability of ...

AWS disclosed that Resilient Network Graphs, a flat network architecture based on quasi-random graph theory, is now the ...

AWS has revealed RNG, a new random-graph-based data center network that delivers 33% higher throughput, cuts network power ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...