code: def forward(self, x, e, h):
      h_0 = self.recurrent(x, e, h)
      y = F.relu(h_0)
      y = self.linear(y)
      return y, h_0
  
file_path: pytorch_geometric_temporal/examples/recurrent/agcrn_example.py
imports: import torch
  import torch.nn.functional
  from torch_geometric_temporal.nn.recurrent import AGCRN
  from torch_geometric_temporal.dataset import ChickenpoxDatasetLoader
  from torch_geometric_temporal.signal import temporal_signal_split
label_desc: Use image node_id 2 for calling the RecurrentGCN obj's underlying member method code with example usage: obj.forward(x, e, h) and returns: y,  h_0