conda install --yes --file coarse_requirements.txt
conda install --yes --file requirements.txt

python C:\xxx\coarse_code\coarse.py
python C:\xxx\code\Fine.py

coarse model

pos_size = 4                                 #  the number of positive samples
neg_size = 32                                #  the number of negative samples
n_emb = 150                                  #  the dimension of embeddings

walk_len = walk_lens[dataset]                #  the length of walking
restart_ratio = restart[dataset]             #  the Probability of returning to the starting node
top_k = top_ks[dataset]                      #  the limition of node sequences
n_heads = head_set[dataset]                  #  the number of attention heads
walk_NUM = 40                                #  the number of walking

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fine model

batch_size = 32    
lambda_gen = 1e-5                 #  generator Regularization
lambda_dis = 1e-5                 #  discriminator Regularization
n_sample = 16                     #  sample size
lr_gen = 0.0001                   #  the learing rate of generator 
lr_dis = 0.0001                   #  the learing rate of discriminator
n_epoch = 40                      #  the number of training

sig = 1                           #  the variance of the generator Gaussian distribution
walk_num = 6                      #  the number of walking
walk_len = 8                      #  the length of walking

change = 10                       #  Swap high-order low-order samples every 5 times
d_epoch = 15                      #  Number of iterations in discriminator
g_epoch = 7                       #  Number of iterations in generator

inf = 40                          #  The farthest distance between two vectors