code: def __init__(self):
      super().__init__()
      self.conv1 = GCNConv(dataset.num_features, 16)
      self.conv2 = GCNConv(16, dataset.num_classes)
  
file_path: pytorch_geometric/examples/explain/graphmask_explainer.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Planetoid
  from torch_geometric.explain import Explainer, GraphMaskExplainer
  from torch_geometric.nn import GATConv, GCNConv
label_desc: Use image node_id 1 to create a new GCN object from inherited base classes: torch.nn with example: obj = GCN()