code: def reset_parameters(self):
      for conv in self.convs:
          conv.reset_parameters()
      torch.nn.init.xavier_uniform_(self.M.weight)
      self.M.bias.data.zero_()
      torch.nn.init.xavier_uniform_(self.Z)
  
file_path: pytorch_geometric/examples/hetero/dmgi_unsup.py
imports: import os.path
  import torch
  import torch.nn.functional
  from sklearn.linear_model import LogisticRegression
  from torch.optim import Adam
  import torch_geometric.transforms
  from torch_geometric.datasets import IMDB
  from torch_geometric.nn import GCNConv
label_desc: Use image node_id 2 for calling the DMGI obj's underlying member method code with example usage: obj.reset_parameters() without return types