3 papers
cs.LG2020
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs with Applications to Modeling of Cytoskeleton
C. B. Scott, Eric Mjolsness
We define a novel type of ensemble Graph Convolutional Network (GCN) model. Using optimized linear projection operators to map between spatial scales of graph, this ensemble model…
cs.LG2019
Novel diffusion-derived distance measures for graphs
C. B. Scott, Eric Mjolsness
We define a new family of similarity and distance measures on graphs, and explore their theoretical properties in comparison to conventional distance metrics. These measures are de…
cs.LG2018
Multilevel Artificial Neural Network Training for Spatially Correlated Learning
C. B. Scott, Eric Mjolsness
Multigrid modeling algorithms are a technique used to accelerate relaxation models running on a hierarchy of similar graphlike structures. We introduce and demonstrate a new method…