code: def __init__(self):
      super().__init__()
      self.conv1 = GATConv(
          dataset.num_features, 8, heads=8, dropout=0.6
      )
  
      self.conv2 = GATConv(
          64, dataset.num_classes, heads=1, concat=True, dropout=0.6
      )
  
file_path: pytorch_geometric/examples/jit/gat.py
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GATConv
label_desc: Use image node_id 1 to create a new GAT object from inherited base classes: torch.nn with example: obj = GAT()