class_docstr: See :class:`torch_geometric.nn.conv.GINConv`.
class_docstr_tok: ["See",":","class",":","`","torch_geometric.nn.conv.GINConv","`","."]
docstr: Resets all learnable parameters of the module.
docstr_tok: ["Resets","all","learnable","parameters","of","the","module","."]
code: def reset_parameters(self):
      r"""Resets all learnable parameters of the module."""
      reset(self.nn)
      self.eps.data.fill_(self.initial_eps)
  
file_path: pytorch_geometric/torch_geometric/nn/dense/dense_gin_conv.py
imports: from typing import Optional
  import torch
  from torch import Tensor
  from torch.nn import Module
  from torch_geometric.nn.inits import reset
label_desc: Use image node_id 2 for calling the DenseGINConv obj's underlying member method code with example usage: obj.reset_parameters() without return types