code: def __init__(self, node_features):
      super(RecurrentGCN, self).__init__()
      self.recurrent = DCRNN(node_features, 32, 1)
      self.linear = torch.nn.Linear(32, 1)
  
file_path: pytorch_geometric_temporal/examples/recurrent/dcrnn_example.py
imports: import torch
  import torch.nn.functional
  from torch_geometric_temporal.nn.recurrent import DCRNN
  from torch_geometric_temporal.dataset import ChickenpoxDatasetLoader
  from torch_geometric_temporal.signal import temporal_signal_split
label_desc: Use image node_id 1 to create a new RecurrentGCN object from inherited base classes: torch.nn with example: obj = RecurrentGCN(node_features)