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 predict(self, interaction):
      user = interaction[self.USER_ID]
      item = interaction[self.ITEM_ID]
      return torch.sigmoid(self.forward(user, item))
  
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 12 for calling the NNCF obj's underlying member method code with example usage: obj.predict(interaction) and returns: torch