code: def message_and_aggregate(self, adj_t: Adj, weight: Tensor) -> Tensor:
      return spmm(adj_t, weight, reduce=self.aggr)
  
imports: import math
  import torch
  from torch import Tensor
  from torch.nn import BatchNorm1d, Parameter
  from torch_geometric.nn import inits
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.nn.models import MLP
  from torch_geometric.typing import Adj, OptTensor
  from torch_geometric.utils import spmm
label_desc: Use image node_id 5 for calling the SparseLinear obj's underlying member method code with example usage: obj.message_and_aggregate(adj_t, weight) and returns: spmm