The code for paper " Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding wasserstein distance "
./HMDAD/Disease_semantic_similarity.csv ./HSDN/final-symptom-disease-similarity.csv ./graph2mda/microbe_fun_sim_mdad_abio.csv microbe similarity based on common durg
args.py get_sim.py HMDAD_all.py overall framework of graph embedding layers.py implemention of Wassertein distance models3.py implemention
version： sklearn 0.24.2 numpy 1.20.3 torch 1.9.0 xgboost 1.5.0 scipy 1.7.1 pandas 1.3.2 ipython 7.26.0 matplotlib 3.3.4 seaborn 0.11.2 tqdm 4.64.0