code: def __init__(self, num_layers: int):
      super().__init__()
  
      self.convs = torch.nn.ModuleList(
          GraphConv(16, 16) for _ in range(num_layers)
      )
  
imports: from typing import List, Optional
  import torch
  from torch import Tensor
  import torch_geometric.typing
  from torch_geometric.data import Data
  from torch_geometric.loader import NeighborLoader
  from torch_geometric.nn import GraphConv
  from torch_geometric.testing import withPackage
  from torch_geometric.typing import SparseTensor
  from torch_geometric.utils import trim_to_layer
  from torch_geometric.utils._trim_to_layer import trim_sparse_tensor
label_desc: Use image node_id 1 to create a new GNN object from inherited base classes: torch.nn with example: obj = GNN(num_layers)