code: def forward(self, node):
      if PAPER:
          # m = node['m']
          m = node.data["m"] + node.data["accum_alpha"]
      else:
          m = node.data["m"] + node.data["alpha"]
      return {
          "h": torch.relu(self.W_o(torch.cat([node.data["x"], m], 1))),
      }
  
imports: import os
  import dgl
  import dgl.function
  import rdkit.Chem
  import torch
  import torch.nn
  from dgl import line_graph, mean_nodes
  from .nnutils import cuda
label_desc: Use image node_id 2 for calling the GatherUpdate obj's underlying member method code with example usage: obj.forward(node) and returns: dict