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 graph of a function f is the set of all points (inputs, outputs) = (x,y) in the plane which satisfy the equation y=f (x). You can move the input below and see how the graph give a visual ...

A function is a rule that is applied to one set of values to give another set of values. A function can be illustrated on a graph - points are plotted as coordinates and joined by either a ...

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 ...

The approximation of the Ihara zeta function via the normalized version on finite graphs in the sense of Benjamini and Schramm follows as a special case. Our framework not only unifies corresponding ...