code: def configure_optimizers(self):
      optimizer = torch.optim.Adam(
          self.parameters(), lr=0.001, weight_decay=5e-4
      )
      return optimizer
  
imports: import glob
  import os
  import dgl
  import dgl.nn.pytorch
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torchmetrics.functional
  import tqdm
  from ogb.nodeproppred import DglNodePropPredDataset
  from pytorch_lightning import LightningDataModule, LightningModule, Trainer
  from pytorch_lightning.callbacks import ModelCheckpoint
  from torchmetrics import Accuracy
label_desc: Use image node_id 6 for calling the SAGE obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizer