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neurodata/graspy: GraSPy 0.3

Jaewon Chung; Benjamin Pedigo; Eric Bridgeford; Bijan Varjavand; jheiko1; Alex Loftus; Ali Saad-Eldin; Kikiwink; ShanQiu; alyakin314; Ben Falk; Casey Weiner; Iain Carmichael; Jinhan; Ronan Perry; Shiyu Sun; Thomas Athey; Vikram Chandrashekhar; gkang7; hhelm10; Jayanta Dey; kareef928

Announcement: GraSPy 0.3

We're happy to announce the release of GraSPy 0.3! GraSPy is a Python package for understanding the properties of random graphs that arise from modern datasets, such as social networks and brain networks.

For more information, please visit our website and our tutorials

Highlights

This release is the result of over 5 months of work with over 11 pull requests by 7 contributors. Highlights include:

  • Added seeded graph matching as a capability for graph matching, renamed graph matching class to GraphMatch
  • Added functions for simulating a pair of correlated RDPG graphs.
  • Deprecated Python 3.5
  • Added different backend hypothesis tests for the LatentDistributionTest from Hyppo
  • Added a correction to make LatentDistributionTest valid for differently sized graphs
Improvements
  • Updated default value of rescale in RDPG simulation
  • Updated default value of scaled in MASE estimation
  • Improved error throwing in AutoGMM
  • Clarified the API for inference submodule
API Changes
  • FastApproximateQAP was renamed to GraphMatch
  • fit method of LatentDistributionTest and LatentPositionTest now returns self instead of a p-value
Deprecations
  • Python 3.5
Contributors to this release

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