GraSPy 0.1

Highlights

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.

GraSPy 0.0.3

Highlights

This release is the result of over 2 months of work with over 16 pull requests by
4 contributors. Highlights include:

• Optimization over covariance structures when using GaussianCluster
• Standardized sorting for visualizing graphs when using heatmap or gridplot
• Graph model classes for fitting several random graph models to input datasets
• Improved customization for heatmaps and gridplots

GraSPy 0.0.2

Highlights

This release is the result of 3 months of work with over 16 pull requests by 5 contributors. Highlights include:

• Nonparametric hypothesis testing method for testing two non-vertex matched graphs.
• Plotting updates to pairplot, gridplot and heatmaps.
• Sampling degree-correlcted stochatic block models (DC-SBM).
• import_edgelist function for importing single or multiple edgelists.
• Enforcing Black formatting for the package.

GraSPy v0.0.1

Highlights

This release is the result of over two years of work with 238 commits and 35 merges by 4 contributors.
Highlights include:

• Fast implementation of dimensionailty reduction using different implementation of SVD.
• Single and multiple graph embedding methods.
• Methods for preprocessing graphs for meaningful embeddings.
• Hypothesis testing, specifically semiparametric testing of two graphs.
• Methods for clustering vertices or population of graphs
• Plotting functions for visualization of graphs and high dimensional data.