code: def __init__(self):
      super().__init__()
      self.conv1 = GATConv(3, 16, heads=4)
      self.conv2 = GATv2Conv(4 * 16, 16, heads=2)
      self.conv3 = TransformerConv(2 * 16, 7, heads=1)
  
file_path: pytorch_geometric/test/explain/algorithm/test_attention_explainer.py
imports: import pytest
  import torch
  from torch_geometric.explain import AttentionExplainer, Explainer
  from torch_geometric.explain.config import ExplanationType, MaskType
  from torch_geometric.nn import AttentiveFP, GATConv, GATv2Conv, TransformerConv
label_desc: Use image node_id 1 to create a new AttentionGNN object from inherited base classes: torch.nn with example: obj = AttentionGNN()