code: def forward(self, x, edge_index):
      """"""
      edge_index, _ = remove_self_loops(edge_index)
      edge_index, _ = add_self_loops(edge_index, num_nodes=x.size(0))
      # prepare
      x = torch.mm(x, self.weight).view(
          -1, self.heads, self.out_channels
      )
      # x [2708,2,4] weight [1433,8]
      return self.propagate(edge_index, x=x, num_nodes=x.size(0))
  
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 4 for calling the GeoLayer obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: self