I often find that when the graph scale is nice and even and I arrow over to a value that should be undefined, it will give a value erroneously. In this example, X = 2 should be undefined and the table ...

Graph limit theory provides a rigorous framework for analysing sequences of large graphs by representing them as continuous objects known as graphons – symmetric measurable functions on the unit ...

We define a distance of two graphs that reflects the closeness of both local and global properties. We also define convergence of a sequence of graphs, and show that a graph sequence is convergent if ...

This is a preview. Log in through your library . Abstract Recently there has been a considerable amount of work on the transient behaviour of loss networks in two different limiting regimes. The first ...

Graph neural networks (GNNs) have achieved tremendous success on multiple graph-based learning tasks by fusing network structure and node features. Modern GNN models are built upon iterative ...