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Title: GitHub - krishnanlab/PecanPy: A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec

Open Graph Title: GitHub - krishnanlab/PecanPy: A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec

X Title: GitHub - krishnanlab/PecanPy: A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec

Description: A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec - krishnanlab/PecanPy

Open Graph Description: A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec - krishnanlab/PecanPy

X Description: A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec - krishnanlab/PecanPy

Mail addresses
liurenmi@msu.edu
arjun.krishnan@cuanschutz.edu

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https://doi.org/10.5281/zenodo.6386437
https://pecanpy.readthedocs.io/en/latest/?badge=latest
https://github.com/psf/black
https://github.com/krishnanlab/PecanPy/actions/workflows/tests.yml
https://patch-diff.githubusercontent.com/krishnanlab/PecanPy#pecanpy-a-parallelized-efficient-and-accelerated-node2vec-in-python
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Accurately Modeling Biased Random Walks on Weighted Graphs Using Node2vec+https://arxiv.org/abs/2109.08031
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Christopher A. Mancusohttps://github.com/ChristopherMancuso
Anna Yannakopouloshttp://yannakopoulos.com/
Krishnan Labhttps://www.thekrishnanlab.org/team
Charles T. Hoythttps://github.com/cthoyt
https://patch-diff.githubusercontent.com/krishnanlab/PecanPy#references
https://snap.stanford.edu/node2vec/https://snap.stanford.edu/node2vec/
https://doi.org/10.5281/zenodo.3352323https://doi.org/10.5281/zenodo.3352323
https://bioinformatics.cs.vt.edu/~jeffl/supplements/2019-fastsinksource/https://bioinformatics.cs.vt.edu/~jeffl/supplements/2019-fastsinksource/
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