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

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

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 ...