docstr: This method is responsible for consuming user and item representations and calculating prediction scores for all
  possible user-item pairs based on these representations.
  :param tf_user_representation: tf.Tensor
  The user representations as a Tensor of shape [n_users, n_components]
  :param tf_item_representation: tf.Tensor
  The item representations as a Tensor of shape [n_items, n_components]
  :return: tf.Tensor
  The predictions as a Tensor of shape [n_users, n_items]
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code: def connect_dense_prediction_graph(
      self, tf_user_representation, tf_item_representation
  ):
      """
      This method is responsible for consuming user and item representations and calculating prediction scores for all
      possible user-item pairs based on these representations.
      :param tf_user_representation: tf.Tensor
      The user representations as a Tensor of shape [n_users, n_components]
      :param tf_item_representation: tf.Tensor
      The item representations as a Tensor of shape [n_items, n_components]
      :return: tf.Tensor
      The predictions as a Tensor of shape [n_users, n_items]
      """
      pass
  
file_path: tensorrec/tensorrec/prediction_graphs.py
imports: import abc
  import tensorflow
  from .recommendation_graphs import relative_cosine
label_desc: Use image node_id 1 for calling the AbstractPredictionGraph obj's underlying member method code with example usage: obj.connect_dense_prediction_graph(tf_user_representation, tf_item_representation) without return types