docstr: Construct feed dictionary.
docstr_tok: ["Construct","feed","dictionary","."]
code: def construct_feed_dict(self, labels_mask):
      """Construct feed dictionary."""
      feed_dict = dict()
      feed_dict.update({self.placeholders["labels"]: self.labels})
      feed_dict.update({self.placeholders["labels_mask"]: labels_mask})
      feed_dict.update({self.placeholders["features"]: self.features})
      feed_dict.update(
          {
              self.placeholders["support"][i]: self.support[i]
              for i in range(len(self.support))
          }
      )
      feed_dict.update(
          {
              self.placeholders["num_features_nonzero"]: self.features[
                  1
              ].shape
          }
      )
      return feed_dict
  
file_path: OpenNE/src/openne/gcn/gcnAPI.py
imports: import numpy
  from .utils import *
  from .None import models
  import time
  import scipy.sparse
  import tensorflow
label_desc: Use image node_id 7 for calling the GCN obj's underlying member method code with example usage: obj.construct_feed_dict(labels_mask) and returns: feed_dict