code: def forward(self, x_dict, edge_index_dict):
      x_dict = {
          node_type: self.lin_dict[node_type](x).relu_()
          for node_type, x in x_dict.items()
      }
  
      for conv in self.convs:
          x_dict = conv(x_dict, edge_index_dict)
  
      return self.lin(x_dict["author"])
  
file_path: pytorch_geometric/examples/hetero/hgt_dblp.py
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import DBLP
  from torch_geometric.nn import HGTConv, Linear
label_desc: Use image node_id 2 for calling the HGT obj's underlying member method code with example usage: obj.forward(x_dict, edge_index_dict) and returns: self