stochasticblockmodelvariants.jl

Simulation and inference for contextual and neural SBMs

https://github.com/spoc-group/stochasticblockmodelvariants.jl

Science Score: 41.0%

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    Links to: arxiv.org
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Keywords

approximate-message-passing belief-propagation graphs julia sbm stochastic-block-model
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Simulation and inference for contextual and neural SBMs

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approximate-message-passing belief-propagation graphs julia sbm stochastic-block-model
Created over 2 years ago · Last pushed almost 2 years ago
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Readme License Citation

README.md

StochasticBlockModelVariants

Dev Build Status Coverage Code Style: Blue

Simulation and inference for contextual and neural SBMs

This is an experimental, unregistered package. Use at your own risk!

My code is based on the following research by O. Duranthon and L. Zdeborovà:

Owner

  • Name: SPOC lab
  • Login: SPOC-group
  • Kind: organization
  • Location: Switzerland

Statistical Physics of Computation @ EPFL

Citation (CITATION.bib)

@misc{StochasticBlockModelVariants.jl,
	author  = {Guillaume Dalle},
	title   = {StochasticBlockModelVariants.jl},
	url     = {https://github.com/gdalle/StochasticBlockModelVariants.jl},
	version = {v0.1.0},
	year    = {2023},
	month   = {7}
}

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