The statistical physics of graphs and partition functions represents a vibrant intersection of graph theory, statistical mechanics and computational complexity. By summing over an ensemble of ...

We develop parametric classes of covariance functions on linear networks and their extension to graphs with Euclidean edges, that is, graphs with edges viewed as line segments or more general sets ...

The precise imaging of many-body systems, which are comprised of many interacting particles, can help to validate theoretical ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.