  The biologically inspired framework of port-graphs has been successfully used
to specify complex systems. It is the basis of the PORGY modelling tool. To
facilitate the specification of proof normalisation procedures via graph
rewriting, in this paper we add higher-order features to the original
port-graph syntax, along with a generalised notion of graph morphism. We
provide a matching algorithm which enables to implement higher-order port-graph
rewriting in PORGY, thus one can visually study the dynamics of the systems
modelled. We illustrate the expressive power of higher-order port-graphs with
examples taken from proof-net reduction systems.
