code: def __init__(self, hidden_channels, num_filters):
      super(update_v, self).__init__()
      self.act = ShiftedSoftplus()
      self.lin1 = Linear(num_filters, hidden_channels)
      self.lin2 = Linear(hidden_channels, hidden_channels)
  
      self.reset_parameters()
  
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 1 to create a new update_v object from inherited base classes: torch.nn with example: obj = update_v(hidden_channels, num_filters)