code: def message(self, x_i, x_j, edge_index, num_nodes):
      # x_i torch.Size([13264, 2, 4])
      # x_j torch.Size([13264, 2, 4])
      # edge_index torch.Size([2, 13264])
      # num_nodes 2708
      if self.att_type == "const":
          if self.training and self.dropout > 0:
              x_j = F.dropout(x_j, p=self.dropout, training=True)
          neighbor = x_j
      elif self.att_type == "gcn":
          if self.gcn_weight is None or self.gcn_weight.size(
              0
          ) != x_j.size(
              0
          ):  # 对于不同的图gcn_weight需要重新计算
              _, norm = self.norm(edge_index, num_nodes, None)
              self.gcn_weight = norm
          neighbor = self.gcn_weight.view(-1, 1, 1) * x_j
      else:
          # Compute attention coefficients.
          alpha = self.apply_attention(edge_index, num_nodes, x_i, x_j)
          alpha = softmax(alpha, edge_index[0], num_nodes=num_nodes)
          # Sample attention coefficients stochastically.
          if self.training and self.dropout > 0:
              alpha = F.dropout(alpha, p=self.dropout, training=True)
  
          neighbor = x_j * alpha.view(-1, self.heads, 1)
      # pool_layer
      # (0): Linear(in_features=4, out_features=128, bias=True)
      #   (1): Linear(in_features=128, out_features=4, bias=True)
      if self.pool_dim > 0:
          # neighbor torch.Size([13264, 2, 4])
          for layer in self.pool_layer:
              neighbor = layer(neighbor)
      return neighbor
  
imports: from torch_geometric.nn import GATConv, GCNConv, ChebConv, SAGEConv, GatedGraphConv, ARMAConv, SGConv
  import torch_geometric.nn
  import torch
  from torch import nn
  import torch.nn.functional
  import inspect
  import sys
  from torch_scatter import scatter_add
  import torch_scatter
  from torch.nn import Parameter
  from torch_geometric.nn.inits import glorot, zeros
  from torch_geometric.utils import remove_self_loops, add_self_loops, add_remaining_self_loops, softmax
label_desc: Use image node_id 5 for calling the GeoLayer obj's underlying member method code with example usage: obj.message(x_i, x_j, edge_index, num_nodes) and returns: neighbor