code: def forward(self, data, h):
      if self.uniform:
          return self.uniform_node_drop(data)
      return self.node_drop(data, h)
  
file_path: DIG/dig/auggraph/method/GraphAug/aug/node_drop.py
imports: import torch
  import torch.nn.functional
  from torch.distributions.bernoulli import Bernoulli
  from torch_geometric.data import Data
  from torch_geometric.utils import subgraph
  from torch_geometric.utils.num_nodes import maybe_num_nodes
label_desc: Use image node_id 5 for calling the NodeDrop obj's underlying member method code with example usage: obj.forward(data, h) and returns: self, self