main
工作站 2 years ago
parent bd3c68697d
commit dafeb53508
  1. 5
      settings.py

@ -1,9 +1,9 @@
import tensorflow as tf import tensorflow as tf
import numpy as np import numpy as np
flags = tf.app.flags flags = tf.app.flags
FLAGS = flags.FLAGS FLAGS = flags.FLAGS
flags.DEFINE_integer('hidden3', 64, 'Number of units in hidden layer 3.') flags.DEFINE_integer('hidden3', 64, 'Number of units in hidden layer 3.')
flags.DEFINE_integer('discriminator_out', 0, 'discriminator_out.') flags.DEFINE_integer('discriminator_out', 0, 'discriminator_out.')
flags.DEFINE_float('discriminator_learning_rate', 0.001, 'Initial learning rate.') flags.DEFINE_float('discriminator_learning_rate', 0.001, 'Initial learning rate.')
@ -21,7 +21,6 @@ infor: number of clusters
''' '''
infor = {'cora': 7, 'citeseer': 6, 'pubmed': 3} infor = {'cora': 7, 'citeseer': 6, 'pubmed': 3}
''' '''
We did not set any seed when we conducted the experiments described in the paper; We did not set any seed when we conducted the experiments described in the paper;
We set a seed here to steadily reveal better performance of ARGA We set a seed here to steadily reveal better performance of ARGA
@ -30,6 +29,7 @@ seed = 7
np.random.seed(seed) np.random.seed(seed)
tf.set_random_seed(seed) tf.set_random_seed(seed)
def get_settings(dataname, model, task): def get_settings(dataname, model, task):
if dataname != 'citeseer' and dataname != 'cora' and dataname != 'pubmed': if dataname != 'citeseer' and dataname != 'cora' and dataname != 'pubmed':
print('error: wrong data set name') print('error: wrong data set name')
@ -46,4 +46,3 @@ def get_settings(dataname, model, task):
re = {'data_name': dataname, 'iterations': iterations, 'model': model} re = {'data_name': dataname, 'iterations': iterations, 'model': model}
return re return re

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