- First, run `Run_adagraph.py`: This file runs our method on all parameter combinations, and saves the corresponding FS results of all parameters.
  
- Then, run `Determine_best_param_with_ACC.py`: This file determines the best parameter based on RF accuracy using the selected features of all parameters, and saves the best parameter.
  
- Next, run `Random_run_with_best_params.py`: This file uses the optimal parameter to select features, repeats the FS process 10 times and save the FS results on these random runs.

- Finally, run `Evaluate_downstream_tasks.py`: This file evaluates the selected features in downstream tasks.
