code: def load_cora_data():
      dataset = CoraGraphDataset()
      g = dataset[0]
      features = g.ndata["feat"]
      labels = g.ndata["label"]
      train_mask = g.ndata["train_mask"]
      test_mask = g.ndata["test_mask"]
      return g, features, labels, train_mask, test_mask
  
file_path: dgl/tutorials/models/1_gnn/1_gcn.py
imports: import os
  import dgl
  import dgl.function
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl import DGLGraph
  from dgl.data import CoraGraphDataset
  import time
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: load_cora_data() and returns: g,  features,  labels,  train_mask,  test_mask