Meta—SDNE:some loss function change for SDNE

data information

formula data

number of different symptom:189

number of different herb:357

edgelist

the first 189 nodes are symptom the other nodes are herb

Usage

There are 3 model:SDNE, SDNE_Binary_Loss,SDNE_Meta_path

Example

python main.py --input data\s_h.edgelist --method sdne_meta_path --graph-format edgelist --output embedding.vec

Specific Options

• --encoder-list, a list of numbers of the neuron at each encoder layer, the last number is the dimension of the output node representation, the default is [1000, 128]
• --alpha, alpha is a hyperparameter in SDNE that controls the first order proximity loss, the default is 1e-6
• --beta, beta is used for construct matrix B, the default is 5
• --nu1, parameter controls l1-loss of weights in autoencoder, the default is 1e-5
• --nu2, parameter controls l2-loss of weights in autoencoder, the default is 1e-4
• --bs, batch size, the default is 200
• --lr, learning rate, the default is 0.01