code: def _skipgram_loss(
      self, inputs1, inputs2, neg_samples, hard_neg_samples=None
  ):
      aff = self.affinity(inputs1, inputs2)
      neg_aff = self.neg_cost(inputs1, neg_samples, hard_neg_samples)
      neg_cost = tf.log(tf.reduce_sum(tf.exp(neg_aff), axis=1))
      loss = tf.reduce_sum(aff - neg_cost)
      return loss
  
file_path: GraphSAGE/graphsage/prediction.py
imports: from __future__ import division
  from __future__ import print_function
  from graphsage.inits import zeros
  from graphsage.layers import Layer
  import tensorflow
label_desc: Use image node_id 6 for calling the BipartiteEdgePredLayer obj's underlying member method code with example usage: obj._skipgram_loss(inputs1, inputs2, neg_samples, hard_neg_samples) and returns: loss