code: def construct_feed_dict(
      features, support, labels, labels_mask, placeholders
  ):
      """Construct feed dictionary."""
      feed_dict = dict()
      feed_dict.update({placeholders["labels"]: labels})
      feed_dict.update({placeholders["labels_mask"]: labels_mask})
      feed_dict.update({placeholders["features"]: features})
      feed_dict.update(
          {
              placeholders["support"][i]: support[i]
              for i in range(len(support))
          }
      )
      feed_dict.update(
          {placeholders["num_features_nonzero"]: features[1].shape}
      )
      return feed_dict
  
file_path: OpenNE/src/openne/gcn/utils.py
imports: import numpy
  import pickle
  import networkx
  import scipy.sparse
  from scipy.sparse.linalg.eigen.arpack import eigsh
  import sys
label_desc: Use image node_id 8 for calling a global function with example usage: construct_feed_dict(features, support, labels, labels_mask, placeholders) and returns: feed_dict