code: def get_torchbiggraph_config():
      config = dict(  # noqa
          # I/O data
          entity_path="data/livejournal",
          edge_paths=[
              "data/train_partitioned",
              "data/test_partitioned",
          ],
          checkpoint_path="model/livejournal",
          # Graph structure
          entities={"user_id": {"num_partitions": 1}},
          relations=[
              {
                  "name": "follow",
                  "lhs": "user_id",
                  "rhs": "user_id",
                  "operator": "none",
              }
          ],
          # Scoring model
          dimension=1024,
          global_emb=False,
          # Training
          num_epochs=30,
          lr=0.001,
          # Misc
          hogwild_delay=2,
      )
  
      return config
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_torchbiggraph_config() and returns: config