code: def __init__(self):
      super().__init__()
      pool_ratios = [2000 / data.num_nodes, 0.5]
      self.unet = GraphUNet(
          dataset.num_features,
          32,
          dataset.num_classes,
          depth=3,
          pool_ratios=pool_ratios,
      )
  
file_path: pytorch_geometric/examples/graph_unet.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GraphUNet
  from torch_geometric.utils import dropout_edge
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()