code: def __init__(self, root, seq_len):
      super().__init__(root, pre_transform=RENet.pre_transform(seq_len))
      self.load(self.processed_paths[0])
  
file_path: pytorch_geometric/test/nn/models/test_re_net.py
imports: import torch
  from torch_geometric.datasets.icews import EventDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import RENet
  from torch_geometric.testing import is_full_test
label_desc: Use image node_id 1 to create a new MyTestEventDataset object from inherited base classes: EventDataset with example: obj = MyTestEventDataset(root, seq_len)