code: def config():
      # parser = argparse.ArgumentParser(description='RGCN')
      args = SimpleNamespace(
          dropout=0,
          n_hidden=16,
          gpu="0,1,2,3",
          lr=1e-2,
          sparse_lr=2e-2,
          n_bases=-1,
          n_layers=2,
          dataset=None,
          l2norm=0,
          fanout=[10, 25],
          use_self_loop=True,
          batch_size=100,
          layer_norm=False,
          validation=False,
          node_feats=False,
          num_workers=0,
          dgl_sparse=False,
      )
  
      return args
  
imports: import argparse
  import gc
  import logging
  import time
  from pathlib import Path
  from types import SimpleNamespace
  import dgl
  import numpy
  import torch
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  from dgl.nn import RelGraphConv
  from torch.multiprocessing import Queue
  from torch.nn.parallel import DistributedDataParallel
  from torch.utils.data import DataLoader
  from ..None import utils
label_desc: Use image node_id 4 for calling a global function with example usage: config() and returns: args