class_docstr: LSTM aggregator for graphsage
class_docstr_tok: ["LSTM","aggregator","for","graphsage"]
docstr: Defaulted to initialite all zero
docstr_tok: ["Defaulted","to","initialite","all","zero"]
code: def init_hidden(self):
      """
      Defaulted to initialite all zero
      """
      return (
          torch.zeros(1, 1, self.hidden_dim),
          torch.zeros(1, 1, self.hidden_dim),
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the LSTMAggregator obj's underlying member method code with example usage: obj.init_hidden() and returns: torch,  torch