We propose a novel difference metric, called the graph diffusion distance (GDD), for quantifying the difference between two weighted graphs with the same number of vertices. Our approach is based on ...

We present a biomimetic model system for cell−cell adhesion consisting of a giant unilamellar vesicle (GUV) adhering via specific ligand−receptor interactions to a supported lipid bilayer (SLB). The ...

Code is adapted from Pitfalls of graph neural network evaluation. Users can test our Diff-ResNet on dataset cora, citeseer and pubmed for 100 random dataset splits and 20 random initializations each.

Abstract: We propose a novel difference metric, called the graph diffusion distance (GDD), for quantifying the difference between two weighted graphs with the same number of vertices. Our approach is ...