docstr: Parameters
  ----------
  v_max: int
      Max number of nodes considered
docstr_tok: ["Parameters","--","--","--","--","--","v_max",":","int","Max","number","of","nodes","considered"]
code: def __init__(self, v_max):
      """
      Parameters
      ----------
      v_max: int
          Max number of nodes considered
      """
      super(DGMGSkeleton, self).__init__()
  
      # Graph configuration
      self.v_max = v_max
  
imports: import os
  import dgl
  import torch.nn
  import torch
  from functools import partial
  import torch.nn.functional
  from torch.distributions import Bernoulli
  from torch.distributions import Categorical
  import torch.utils.model_zoo
label_desc: Use image node_id 1 to create a new DGMGSkeleton object from inherited base classes: nn with example: obj = DGMGSkeleton(v_max)