What’s new?

Here we list a changelog of pywhy-graphs.

Version 0.1

Changelog

• Feature Add keyword argument for graph labels in pywhy_graphs.viz.draw(), by Aryan Roy (#71)

• Feature Implement minimal m-separator function in pywhy_graphs.networkx.minimal_m_separator() with a BFS approach, by Jaron Lee (#53)

• Feature Implement m-separation pywhy_graphs.networkx.m_separated() with the BallTree approach, by Jaron Lee (#48)

• Feature Add support for undirected edges in m-separation pywhy_graphs.networkx.m_separated(), by Jaron Lee (#46)

• Feature Implement uncovered circle path finding inside the pywhy_graphs.algorithms.uncovered_pd_path(), by Jaron Lee (#42)

• Feature Implement and test the pywhy_graphs.CPDAG for CPDAGs, by Adam Li (#6)

• Feature Implement and test the pywhy_graphs.PAG for PAGs, by Adam Li (#9)

• Feature Implement and test various PAG algorithms pywhy_graphs.algorithms.possible_ancestors(), pywhy_graphs.algorithms.possible_descendants(), pywhy_graphs.algorithms.discriminating_path(), pywhy_graphs.algorithms.pds(), pywhy_graphs.algorithms.pds_path(), and pywhy_graphs.algorithms.uncovered_pd_path(), by Adam Li (#10)

• Feature Implement an array API wrapper to convert between causal graphs in pywhy-graphs and causal graphs in causal-learn, by Adam Li (#16)

• Feature Implement an acyclification algorithm for converting cyclic graphs to acyclic with pywhy_graphs.algorithms.acyclification(), by Adam Li (#17)

• Feature Adding a layout for the nodes positions in the pywhy_graphs.viz.draw() function, by Julien Siebert (#26)

• Feature Add pywhy_graphs.networkx.MixedEdgeGraph for mixed-edge graphs, by Adam Li (#29)

• Major Feature Implement a series of graph classes for time-series graphs, such as pywhy_graphs.classes.timeseries.StationaryTimeSeriesMixedEdgeGraph, by Adam Li (#21)

• Major Feature Implement a series of graph classes for modeling interventions, such as pywhy_graphs.AugmentedGraph, by Adam Li (#49)

• Feature Implement export/import functions to go to/from pywhy-graphs to causallearn and to/from pywhy-graphs to numpy, by Adam Li (#51)

• Feature Implement export/import functions to go to/from pywhy-graphs to pcalg and tetrad, by Adam Li (#60)

• Feature Implement export/import functions to go to/from pywhy-graphs to ananke-causal, by Jaron Lee (#63)

• Feature Implement pre-commit hooks for development, by Jaron Lee (#68)

• Feature Implement a new submodule for converting graphs to a functional model, with pywhy_graphs.functional.make_graph_linear_gaussian(), by Adam Li (#75)

• Feature Implement a multidomain linear functional graph, with pywhy_graphs.functional.make_graph_multidomain(), by Adam Li (#77)

• Feature Implement and test functions to find inducing paths between two nodes, Aryan Roy (#78)

• Feature Implement general functional API for sampling and generating a functional causal graph, by Adam Li (#82)

Code and Documentation Contributors

Thanks to everyone who has contributed to the maintenance and improvement of the project since version inception, including:

• Adam Li

• Julien Siebert

• Jaron Lee

• Aryan Roy