code: def forward(self, edge_index, edge_type):
      x = self.node_emb
      x = self.conv1(x, edge_index, edge_type).relu_()
      x = F.dropout(x, p=0.2, training=self.training)
      x = self.conv2(x, edge_index, edge_type)
      return x
  
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  from torch.nn import Parameter
  from tqdm import tqdm
  from torch_geometric.datasets import RelLinkPredDataset
  from torch_geometric.nn import GAE, RGCNConv
label_desc: Use image node_id 3 for calling the RGCNEncoder obj's underlying member method code with example usage: obj.forward(edge_index, edge_type) and returns: x