docstr: This method is responsible for connecting the user/item features to their respective latent representations.
  :param tf_features: tf.SparseTensor
  The user/item features as a SparseTensor of shape [ n_users, n_features ]
  :param n_components: int
  The size of the latent representation per user/item.
  :param n_features: int
  The size of the input features per user/item.
  :param node_name_ending: str
  A string, either 'user' or 'item', which can be added to TensorFlow node names for clarity.
  :return: tf.Tensor
  The user/item representation as a Tensor of shape [ n_users, n_components ]
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code: def connect_representation_graph(
      self, tf_features, n_components, n_features, node_name_ending
  ):
      """
      This method is responsible for connecting the user/item features to their respective latent representations.
      :param tf_features: tf.SparseTensor
      The user/item features as a SparseTensor of shape [ n_users, n_features ]
      :param n_components: int
      The size of the latent representation per user/item.
      :param n_features: int
      The size of the input features per user/item.
      :param node_name_ending: str
      A string, either 'user' or 'item', which can be added to TensorFlow node names for clarity.
      :return: tf.Tensor
      The user/item representation as a Tensor of shape [ n_users, n_components ]
      """
      pass
  
imports: import abc
  import tensorflow
label_desc: Use image node_id 1 for calling the AbstractRepresentationGraph obj's underlying member method code with example usage: obj.connect_representation_graph(tf_features, n_components, n_features, node_name_ending) without return types