code: def __init__(self):
      super().__init__()
      self.conv1 = SplineConv(d.num_features, 32, dim=2, kernel_size=5)
      self.conv2 = SplineConv(32, 64, dim=2, kernel_size=5)
      self.conv3 = SplineConv(64, 64, dim=2, kernel_size=5)
      self.fc1 = torch.nn.Linear(4 * 64, 128)
      self.fc2 = torch.nn.Linear(128, d.num_classes)
  
file_path: pytorch_geometric/examples/mnist_voxel_grid.py
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import MNISTSuperpixels
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import SplineConv, max_pool, max_pool_x, voxel_grid
  from torch_geometric.typing import WITH_TORCH_SPLINE_CONV
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()