Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

Learning Graph Distances with Message PassingNeural Networks

Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary Structure

reproducing Shimada et al. 2016 "Graph distance for complex networks" paper

Morphological categorization of neurons in order to explore their functional features has drawn significant attention over past few decades. The enormous complexity in the structure of neurons poses a real challenge in the identification and analysis of similar and dissimilar neuronal cells. Existing methodologies often carry out strutural and g…

Compares pangenome graphs by calculating the segmentation distance between two GFA (Graphical Fragment Assembly) files.

This package computes the approximations to the cutnorm using some of the techniques detailed by Alon and Noar [ALON2004] and a fast optimization algorithm by Wen and Yin [WEN2013].

Performs PCA with optional graph distance for neighborhood composition.