graph-distance

There are 0 repository under graph-distance topic.

• gasteigerjo / gtn

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

  graph-distancegraph-neural-networkmachine-learningpaper
  Language:Jupyter Notebook 15

• priba / siamese_ged

  Learning Graph Distances with Message PassingNeural Networks

  graphgraph-distanceneural-message-passing
  Language:Python 13

• dubssieg / rs-pancat-compare

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

  distancedistance-calculationdistance-measuresgraph-distancepangenomepangenome-graphpangenomicsvariation-graphvariation-graphs
  Language:Rust 12

• AntoinePassemiers / GDE-GaussFold

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

  protein-foldingprotein-3d-structuretemplate-free-modellinggraph-distancel-bfgsgenetic-algorithm
  Language:Python 2

• msarrias / graph-distance-for-complex-networks

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

  graph-distancespectral-graph-distancews-models
  Language:Jupyter Notebook 2

• 50-Cent / ElasticPath2Path

  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 geometrical simplifications, which substantially changes the morphological statistics. Using digitally-reconstructed neurons, we extend the work of Path2Path as ElasticP2P, which seamlessly integrates the graph-theoretic and differential-geometric frameworks. By decomposing a neuron into a set of paths, we derive graph metrics, which are path concurrence and path hierarchy. Next, we model each path as an elastic string to compute the geodesic distance between the paths of a pair of neurons. Later, we formulate the problem of finding the distance between two neurons as a path assignment problem with a cost function combining the graph metrics and the geodesic deformation of paths.

  elastic-curveneuron-matchingneuron-morphingneuron-morphologygraph-distanceshape-analysisshape-descriptorgeometric-transformation
  Language:MATLAB 1

• pingkoc / cutnorm

  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].

  optimizationnetworkgraphgraph-distancegraph-analysis
  Language:Python 1

• YertleTurtleGit / graph-pca

  Performs PCA with optional graph distance for neighborhood composition.

  eigengraphgraph-distancepcapoint-cloudpythongeometric-features
  Language:Rust 1