code: def __init__(self, in_channels, out_channels):
      super().__init__()
      self.conv1 = GATConv(in_channels, 8, heads=8, dropout=0.6)
      self.conv2 = GATConv(8 * 8, out_channels, dropout=0.6)
  
imports: import torch
  import torch.nn.functional
  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(in_channels, out_channels)