code: def forward(self, v, e, edge_index):
      _, i = edge_index
      out = scatter(e, i, dim=0)
      out = self.lin1(out)
      out = self.act(out)
      out = self.lin2(out)
      return v + out
  
imports: from math import pi
  import torch
  import torch.nn.functional
  from torch.nn import Embedding, Sequential, Linear
  from torch_scatter import scatter
  from torch_geometric.nn import radius_graph
label_desc: Use image node_id 3 for calling the update_v obj's underlying member method code with example usage: obj.forward(v, e, edge_index) and returns: unknown