code: def forward(self, graph, feat):
      """"""
      # add self_loop
      graph = dgl.remove_self_loop(graph)
      graph = dgl.add_self_loop(graph)
      # prepare
      x = feat
      x = torch.mm(x, self.weight).view(
          -1, self.heads, self.out_channels
      )
      out = self.propagate(graph, x)
      return out
  
imports: import torch
  from torch import nn
  import torch.nn.functional
  import dgl
  from dgl.nn.pytorch.conv import *
  import dgl.function
  import math
  from dgl.utils import expand_as_pair
  from dgl.nn.functional import edge_softmax
  from torch.nn import Parameter
  import torch
  from torch import Tensor
  from ..scatter_utils import *
  from typing import Optional, Tuple, Union
label_desc: Use image node_id 4 for calling the GeoLayer obj's underlying member method code with example usage: obj.forward(graph, feat) and returns: out