code: def __init__(self, num_layers):
      super().__init__()
      self.convs = torch.nn.ModuleList(
          [WLConv() for _ in range(num_layers)]
      )
  
file_path: pytorch_geometric/examples/wl_kernel.py
imports: import argparse
  import os.path
  import warnings
  import torch
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.metrics import accuracy_score
  from sklearn.svm import LinearSVC
  from torch_geometric.data import Batch
  from torch_geometric.datasets import TUDataset
  from torch_geometric.nn import WLConv
label_desc: Use image node_id 1 to create a new WL object from inherited base classes: torch.nn with example: obj = WL(num_layers)