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Graph-based model reduction is a model fusion and reduction method for DAGs. This is python based implementation of model reduction with following dependencies:

sklearn:

pip install -U scikit-learn

Networkx: https://networkx.org/documentation/stable/install.html

Install the current release of networkx with pip:

$ pip install networkx[default]

Node ranks: scikit-network https://scikit-network.readthedocs.io/en/latest/

$pip install scikit-network

PageRank for DAG: https://scikit-network.readthedocs.io/en/latest/tutorials/ranking/pagerank.html#Directed-graphs

Katz for DAG: https://scikit-network.readthedocs.io/en/latest/tutorials/ranking/katz.html#Directed-graphs

Spectral Method scikit-learn.cluster.SpectralClustering https://scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html

Causal discovery: https://github.com/juangamella/sempler

GES: https://github.com/juangamella/ges