python -m HeteroRobust.run SparseSmoothingSession 
    --random_seed {randomSeed} --datasetName {datasetName} {SessionConfig} -
    set_configs --use_runner True -
    add_model {model} {model_arg} --name {model}_p - fit_model {model}_p -
    predict_smooth_gnn {model}_p --target prevotes --n_samples {prevote_nsample} -
    predict_smooth_gnn {model}_p --n_samples {vote_nsample} -
    certificate_grid -
    exit