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Published March 3, 2020 | Version v0.2
Software Open

neurodata/graspy: GraSPy 0.2

Authors/Creators

  • 1. @neurodata
  • 2. Neurodata
  • 3. Johns Hopkins University
  • 4. @stsci

Description

Highlights

This release is the result of over 8 months of work with over 25 pull requests by 10 contributors. Highlights include:

  • Added AutoGMMCluster in cluster submodule. AutoGMMCluster is Python equivalent to mclust in R.
  • Added subgraph submodule, which detects vertices that maximally correlates to given features.
  • Added match submodule. Used for matching vertices from a pair of graphs with unknown vertex correspondence.
  • Added functions for simulating a pair of correlated ER and SBM graphs.
Improvements
  • Diagonal augmentation is default behavior in AdjacencySpectralEmbed.
  • Added functionality in to_laplace to allow for directed graphs.
  • Updated docstrings.
  • Updated documentation website.
  • Various bug fixes.
API Changes
  • Added **kwargs argument for heatmap.

Files

neurodata/graspy-v0.2.zip

Files (1.2 MB)

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Additional details

Related works

Is supplement to
https://github.com/neurodata/graspy/tree/v0.2 (URL)