code: def __init__(self):
      super().__init__()
      self.conv1 = Conv(
          data.num_nodes, 16, dataset.num_relations, num_bases=30
      )
      self.conv2 = Conv(
          16, dataset.num_classes, dataset.num_relations, num_bases=30
      )
  
file_path: pytorch_geometric/examples/rgcn.py
imports: import argparse
  import os.path
  import time
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Entities
  from torch_geometric.nn import FastRGCNConv, RGCNConv
  from torch_geometric.utils import k_hop_subgraph
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()