code: def __init__(self):
      super().__init__()
      self.conv1 = SplineConv(1, 32, dim=3, kernel_size=5, aggr="add")
      self.conv2 = SplineConv(32, 64, dim=3, kernel_size=5, aggr="add")
      self.conv3 = SplineConv(64, 64, dim=3, kernel_size=5, aggr="add")
      self.conv4 = SplineConv(64, 64, dim=3, kernel_size=5, aggr="add")
      self.conv5 = SplineConv(64, 64, dim=3, kernel_size=5, aggr="add")
      self.conv6 = SplineConv(64, 64, dim=3, kernel_size=5, aggr="add")
      self.lin1 = torch.nn.Linear(64, 256)
      self.lin2 = torch.nn.Linear(256, d.num_nodes)
  
file_path: pytorch_geometric/examples/faust.py
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import FAUST
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import SplineConv
  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()