code: def getT(self):
      g = self.g.G
      look_back = self.g.look_back_list
      self.features = np.vstack(
          [
              g.nodes[look_back[i]]["feature"]
              for i in range(g.number_of_nodes())
          ]
      )
      self.preprocessFeature()
      return self.features.T
  
file_path: OpenNE/src/openne/tadw.py
imports: from __future__ import print_function
  import math
  import numpy
  from numpy import linalg
  from sklearn.preprocessing import normalize
  from .gcn.utils import *
label_desc: Use image node_id 4 for calling the TADW obj's underlying member method code with example usage: obj.getT() and returns: self