conda create -n myenv python=3.9.1
#activate environment conda activate myenv
#install packages pip install -r requirments.txt
#Run the experiments #AutoML_PC.py is the script that runs the experiments for the paper - see Table 2, 4, 5, 6. #gat_ks.py, gcn_ks.py, graphsage_ks.py, deep_walk_ks.py are the scripts deep learning based models #models.py is all of te deep learning models within a single script #classical.py contains the code for the classical models of the paper
#Running revised code First unpack the zip file and run the two files: AutoML_PC_static_bayesian.py to run the static models (both random search and bayesian optimization) and AutoML_PC.py to run the models for the spatio-temporal data (both random and bayesian approaches)