code: def call(self, features, corrupt=False):
      if corrupt:
          perm = np.random.permutation(self.g.number_of_nodes())
          features = tf.gather(features, perm)
      features = self.conv(features)
      return features
  
imports: import math
  import numpy
  import tensorflow
  from gcn import GCN
  from tensorflow.keras import layers
label_desc: Use image node_id 2 for calling the Encoder obj's underlying member method code with example usage: obj.call(features, corrupt) and returns: features