class_docstr: NNCF is an neural network enhanced matrix factorization model which also captures neighborhood information.
  We implement the NNCF model with three ways to process neighborhood information.
code: def calculate_loss(self, interaction):
      user = interaction[self.USER_ID]
      item = interaction[self.ITEM_ID]
      label = interaction[self.LABEL]
  
      output = self.forward(user, item)
      return self.loss(output, label)
  
imports: import torch
  import torch.nn
  from torch.nn.init import normal_
  from recbole.model.abstract_recommender import GeneralRecommender
  from recbole.model.layers import MLPLayers
  from recbole.utils import InputType
  from recbole.model.general_recommender.itemknn import ComputeSimilarity
  import numpy
label_desc: Use image node_id 11 for calling the NNCF obj's underlying member method code with example usage: obj.calculate_loss(interaction) and returns: self