code: def forward(self, x, edge_index):
      for i, conv in enumerate(self.convs):
          x = conv(x, edge_index)
          if i != len(self.convs) - 1:
              x = F.relu(x)
              x = F.dropout(x, p=0.5, training=self.training)
      return F.log_softmax(x, dim=-1)
  
file_path: pytorch_geometric/examples/cluster_gcn_reddit.py
imports: import time
  import torch
  import torch.nn.functional
  from torch.nn import ModuleList
  from tqdm import tqdm
  from torch_geometric.datasets import Reddit
  from torch_geometric.loader import ClusterData, ClusterLoader, NeighborLoader
  from torch_geometric.nn import SAGEConv
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: F