code: def __init__(self, in_channels, hidden_channels, out_channels):
      super().__init__()
      self.convs = torch.nn.ModuleList()
      self.convs.append(SAGEConv(in_channels, hidden_channels))
      self.convs.append(SAGEConv(hidden_channels, out_channels))
  
file_path: pytorch_geometric/examples/reddit.py
imports: import copy
  import os.path
  import time
  import torch
  import torch.nn.functional
  from tqdm import tqdm
  from torch_geometric.datasets import Reddit
  from torch_geometric.loader import NeighborLoader
  from torch_geometric.nn import SAGEConv
label_desc: Use image node_id 1 to create a new SAGE object from inherited base classes: torch.nn with example: obj = SAGE(in_channels, hidden_channels, out_channels)