Graspologic

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.

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``

Highlights
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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.

Highlights
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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.