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sGGM

FST

Implementation of FST algorithm in Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables (ijcai.org)

run

run python ./main/FST.py

SIMULE

Implementation of SIMULE algorithm in A constrained $$\ell $$ โ„“ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models | SpringerLink(https://www.ijcai.org/Proceedings/2020/0410.pdf)

method

Solving linear programming problem in Eq(11). Use pulp to solve the LP problem.

run

run python ./main/SIMULE.py

Simulated dataset

$$ \Omega^{(i)}=\mathbf{B}_I^{i}+\mathbf{B}_S+\delta^{(i)}I $$

baselines

  • JGL-fused
  • JGL-group
  • SIMONE

sggm's People

Contributors

sutongtong233 avatar

Watchers

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