code: def forward(self, x, edge_index, batch_size):
      for conv, act in zip(self.convs, self.activations):
          x = conv(x, edge_index)
          x = act(x)
      return x[:batch_size]
  
file_path: pytorch_geometric/examples/infomax_inductive.py
imports: import os.path
  import torch
  from tqdm import tqdm
  from torch_geometric.datasets import Reddit
  from torch_geometric.loader import NeighborLoader
  from torch_geometric.nn import DeepGraphInfomax, SAGEConv
label_desc: Use image node_id 2 for calling the Encoder obj's underlying member method code with example usage: obj.forward(x, edge_index, batch_size) and returns: x