code: def forward(self, x, adj_t):
      for conv in self.convs[:-1]:
          x = conv(x, adj_t)
          x = F.relu(x)
          x = F.dropout(x, p=self.dropout, training=self.training)
      x = self.convs[-1](x, adj_t)
      return x
  
imports: import argparse
  import torch
  from torch.nn import Parameter
  import torch.nn.functional
  from torch.utils.data import DataLoader
  import torch_geometric.transforms
  from torch_geometric.nn import GCNConv, SAGEConv
  from ogb.linkproppred import PygLinkPropPredDataset, Evaluator
  from logger import Logger
label_desc: Use image node_id 3 for calling the SAGE obj's underlying member method code with example usage: obj.forward(x, adj_t) and returns: x