code: def _hinge_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)
      diff = tf.nn.relu(
          tf.subtract(neg_aff, tf.expand_dims(aff, 1) - self.margin),
          name="diff",
      )
      loss = tf.reduce_sum(diff)
      self.neg_shape = tf.shape(neg_aff)
      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 7 for calling the BipartiteEdgePredLayer obj's underlying member method code with example usage: obj._hinge_loss(inputs1, inputs2, neg_samples, hard_neg_samples) and returns: loss