Please run 'python HIME.py' to generate the embedding model on either DBLP or 'Protein-GO'.  The parameters are as follows:
--dataset: 	either 'dblp' or 'protein_go', default 'dblp'.
--neg_num	    negative sampling number, default 5.
--emb_num	    branch vector number, default 4.
--emb_dim	    embedding dimension, default 32.
--epoch_num	    epoch number, default 100.
--batch_size	batch size, default 1000.
--LRU_period	LRU period, default 5.
The trained model will be saved into a directory called 'saved_model'.

To evaluate, please run 'python evaluate.py'. The parameters are as follows:
--dataset: 	    either 'dblp' or 'protein_go', default 'dblp'.
--emb_num	    branch vector number, default 4.
--emb_dim	    embedding dimension, default 32.
--epoch_num	    epoch number, default 100.
The program will find the model specified by above parameters in 'saved_model', and the perform the evaluation.



