code: def __init__(self, hidden_channels, out_channels):
      super().__init__()
      self.conv1 = SAGEConv((-1, -1), hidden_channels)
      self.conv2 = SAGEConv((-1, -1), out_channels)
  
imports: import os.path
  import torch
  import torch.nn.functional
  from torch.nn import Linear
  import torch_geometric.transforms
  from torch_geometric.datasets import MovieLens
  from torch_geometric.loader import LinkNeighborLoader
  from torch_geometric.nn import SAGEConv, to_hetero
label_desc: Use image node_id 1 to create a new GNNEncoder object from inherited base classes: torch.nn with example: obj = GNNEncoder(hidden_channels, out_channels)