code: def train_dataloader(self):
      return self.create_dataloader(self.train_set, is_train=True)
  
imports: import argparse
  import dgl.graphbolt
  import dgl.nn.pytorch
  import torch
  import torch.nn
  import torch.nn.functional
  from pytorch_lightning import LightningDataModule, LightningModule, Trainer
  from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
  from torchmetrics import Accuracy
label_desc: Use image node_id 3 for calling the DataModule obj's underlying member method code with example usage: obj.train_dataloader() and returns: self