code: def message(self, x_j: Tensor, alpha: Tensor) -> Tensor:
      return self.lin2(x_j) * alpha.unsqueeze(-1)
  
imports: from typing import Optional
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.nn import GRUCell, Linear, Parameter
  from torch_geometric.nn import GATConv, MessagePassing, global_add_pool
  from torch_geometric.nn.inits import glorot, zeros
  from torch_geometric.typing import Adj, OptTensor
  from torch_geometric.utils import softmax
label_desc: Use image node_id 5 for calling the GATEConv obj's underlying member method code with example usage: obj.message(x_j, alpha) and returns: unknown