├── examples
│   ├── jupyter_notebook
|   |   ├── simple_example_block.ipynb
|   |   ├── simple_example_scalefree.ipynb
|   |   ├── simple_example_ssjgl.ipynb
│   │   └── simple_example.ipynb
│   │
│   ├── roc # run & visualize ROC curve
|   |   ├── DGP1_roc_visualization.r #visualization
│   |   ├── DGP1_roc.r # roc curve on scalefree network, common structures share same inverse convarince matrix (data generation process 1)
|   |   |                
|   |   ├── DGP2_roc_visualization.r #visualization
|   |   ├── DGP2_roc.r # roc curve on scalefree network, common structures have different inverse convarince matrices (data generation process 2)
|   |   |                    
|   |   ├── simple_roc_vis.r # visualization
|   |   └── simple_roc.r # roc curve on ramdom network
|   | 
|   ├── joint_demo.r # beautiful result on random network (Erdos-Renyi graph)            
│   ├── loss_graphsize_npAIC.r #fix p, vary n            
│   ├── loss_smallgraphsize.r #fix n, vary n             
│   ├── oos_scalefree.r # out-of-sample likelihood on scalefree network.              
│   ├── oos.r # out-of-sample likelihood on random network      
|   ├── scalefree_AIC.r # model selection on scalefree network using AIC, tune the trucation value                
|   ├── scalefree_BIC.r # model selection on scalefree network using BIC, tune the trucation value               
|   ├── simple_example_ar.r # example on AR network: model selction, fnr,fpr, Frobenious loss, etropy loss                      
|   └── simple_example_scalefree.r # example on scalefree network: model selction, fnr,fpr, Frobenious loss, etropy loss
|                          
├── R #source file
|   ├── admm.iters.R
|   ├── display.R
|   ├── eval.R
|   ├── gen_data.R
|   ├── gete.R
|   ├── JGL.R
|   ├── metrics.R
|   └── SSJGL.R
|   
├── environment.yml
├── install_packages.R
├── README.md
└── .gitignore