code: def __init__(self):
      super().__init__()
  
      self.conv1 = SuperGATConv(
          dataset.num_features,
          8,
          heads=8,
          dropout=0.6,
          attention_type="MX",
          edge_sample_ratio=0.8,
          is_undirected=True,
      )
      self.conv2 = SuperGATConv(
          8 * 8,
          dataset.num_classes,
          heads=8,
          concat=False,
          dropout=0.6,
          attention_type="MX",
          edge_sample_ratio=0.8,
          is_undirected=True,
      )
  
file_path: pytorch_geometric/examples/super_gat.py
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import SuperGATConv
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()