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ergodic-basis-pursuit

Sparse recovery method that uses the ergodicity of the network dynamics to reconstruct sparse networks

https://github.com/edmilson-roque-santos/ergodic-basis-pursuit

Science Score: 49.0%

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Repository

Sparse recovery method that uses the ergodicity of the network dynamics to reconstruct sparse networks

Basic Info
  • Host: GitHub
  • Owner: edmilson-roque-santos
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 58.6 MB
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
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  • Releases: 2
Created almost 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Ergodic-basis-pursuit

Ergodic Basis Pursuit method leverages the statistical properties of the network dynamics to accurately reconstruct sparse networks. Compared to traditional methods, the Ergodic Basis Pursuit reconstructs sparse networks using significantly less data and is robust to noise.

DOI

## Dependencies

### For simulation and output

Basic dependencies for running simulations:

  • Python (tested with version 3.8.12)
  • NumPy (version 1.19.2)
  • Matplotlib
  • h5dict
  • SciPy
  • NetworkX
  • cvxpy

## Acknowledgments

We are indebted to Joseph Hart and Raj Roy for sharing the experimental data. This work was supported by FAPESP grant 2018/10349-4, FAPESP CEMEAI Grant No. 2013/07375-0, Serrapilheira Institute (Grant No.Serra-1709-16124), Newton Advanced Fellow of the Royal Society NAF\R1\180236, Collaborative Research in Computational Neuroscience (CRCNS) through R01-AA029926, CNPq grant 312287/2021-6, and EPSRC-FAPESP Grant No. 2023/13706.

Owner

  • Name: Edmilson Roque dos Santos
  • Login: edmilson-roque-santos
  • Kind: user

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