code: def build_conv_model(self, model_type):
      if model_type == "GCN":
          return pyg_nn.GCNConv
      elif model_type == "GAT":
          return pyg_nn.GATConv
      elif model_type == "GraphSage":
          return pyg_nn.SAGEConv
      elif model_type == "Graph":
          return pyg_nn.GraphConv
      elif model_type == "Simple":
          if self.args.skip == "all":
              raise ValueError(
                  "SimpleConv does not have parameter and does not support full skip connections"
              )
          return SimpleConv
      else:
          raise ValueError(
              "Model_type {} unavailable, please add it to GNN.build_conv_model.".format(
                  model_type
              )
          )
  
file_path: deepsnap/examples/graph_classification/skip_models.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch_geometric.nn
  import torch_geometric.utils
label_desc: Use image node_id 2 for calling the SkipLastGNN obj's underlying member method code with example usage: obj.build_conv_model(model_type) and returns: pyg_nn, pyg_nn, pyg_nn, pyg_nn, SimpleConv