class_docstr: LINE is a graph embedding model.
  
  We implement the model to train users and items embedding for recommendation.
code: def get_user_id_list(self):
      return np.arange(1, self.n_users)
  
imports: import random
  import numpy
  import torch
  import torch.nn
  from recbole.model.abstract_recommender import GeneralRecommender
  from recbole.model.init import xavier_normal_initialization
  from recbole.utils import InputType
label_desc: Use image node_id 5 for calling the LINE obj's underlying member method code with example usage: obj.get_user_id_list() and returns: np