code: def __init__(self, node_features, filters):
      super().__init__()
      self.recurrent = DCRNN(node_features, filters, 1)
      self.linear = torch.nn.Linear(filters, 1)
  
file_path: pytorch_geometric_temporal/examples/recurrent/lightning_example.py
imports: import torch
  from torch.nn import functional
  import pytorch_lightning
  from pytorch_lightning.callbacks.early_stopping import EarlyStopping
  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 LitDiffConvModel object from inherited base classes: pl with example: obj = LitDiffConvModel(node_features, filters)