Release Notes: GraSPy 0.1

We're happy to announce the release of GraSPy 0.1! 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.


This release is the result of over 2 months of work with over 18 pull requests by 3 contributors. Highlights include:

  • Added MultipleASE, which is a new method for embedding population of graphs.
  • Added mug2vec within pipieline module, which learns a feature vector for population of graphs.


  • Improved contribution guidelines.
  • Fixed bugs in GaussianCluster.
  • symmeterize function now uses avg as default method.
  • Fixed dataset module loading errors.
  • Improve underlying ER sampling code.

API Changes

  • Added sort_nodes argument for heatmap and gridplot functions.



Contributors to this release