code: def __init__(self):
      super().__init__()
      self.conv1 = SAGEConv((-1, -1), 32)
      self.conv2 = SAGEConv((-1, -1), 32)
  
file_path: pytorch_geometric/test/explain/algorithm/test_explain_algorithm_utils.py
imports: import torch
  from torch_geometric.explain.algorithm.utils import clear_masks, set_hetero_masks
  from torch_geometric.nn import GCNConv, HeteroConv, SAGEConv, to_hetero
label_desc: Use image node_id 1 to create a new GraphSAGE object from inherited base classes: torch.nn with example: obj = GraphSAGE()