code: def forward(self, x, edge_index, edge_weight):
      h = self.recurrent(x, edge_index, edge_weight)
      h = F.relu(h)
      h = self.linear(h)
      return h
  
file_path: pytorch_geometric_temporal/examples/recurrent/mpnnlstm_example.py
imports: import torch
  import torch.nn.functional
  from torch_geometric_temporal.nn.recurrent import MPNNLSTM
  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, edge_index, edge_weight) and returns: h