leiden 0.3.4

• add support for bipartite graphs (requires leidenalg 0.6.1 or later)

• changes to install python leidenalg from vtraag channel on Windows

• bug fixes to install documentation

• improve automated conda configuration in background on loading library

• optionally derive edge weights from the Laplacian matrix

leiden 0.3.3

• bug fixes for documentation in response to changes to R

see development version: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16223

leiden 0.3.2

• added support for passing weighted igraph objects

• improved handling of sparse matrices

• bug fixes to ensure same results from matrix and igraph methods

leiden 0.3.1

Changes needed to avoid casting to dense matrices in Seurat

• method for sparse matrices that passes to igraph without casting to dense

• added seed and n_iterations to find_partitions

leiden 0.3.0

Major updates to support igraph objects and avoids casting to dense matrices

• Implements calling leiden directly on an igraph object

• Separate methods for igraph objects and adjacency matrices

• Support for sparse matrices

• Benchmarking added to vignettes

leiden 0.2.3

• Adds passing weighted adjacency matrices to derive weight parameters

leiden 0.2.2

• Changes to ensure compatibility with CRAN. Updates to vignettes and documentation.

leiden 0.2.1

• Enable passing arguments to Python functions: initial_membership, weights, and
  node_sizes.

leiden 0.2.0

• Adds passing arguments to the Python implementation: the partition_type and resolution_parameter. Runs the RBConfigurationVertexPartition by default (which is equivalent to ModularityVertexPartition with a resolution_parameter of 1).

leiden 0.1.1

• Removes dependancy on igraph R package and avoids writing to disk (compatible with CRAN). Passes adjacency matrix directly to python as a numpy array.