code: def reset_parameters(self):
      self.conv.reset_parameters()
      gain = torch.nn.init.calculate_gain("relu")
      torch.nn.init.xavier_uniform_(self.fc.weight, gain=gain)
      torch.nn.init.xavier_uniform_(self.fc2.weight, gain=gain)
      for bias in [self.fc.bias, self.fc2.bias]:
          stdv = 1.0 / math.sqrt(bias.size(0))
          bias.data.uniform_(-stdv, stdv)
  
file_path: dgl/examples/pytorch/ogb/ngnn_seal/models.py
imports: import math
  import torch
  import torch.nn.functional
  from dgl.nn import GraphConv, SortPooling
  from torch.nn import Conv1d, Embedding, Linear, MaxPool1d, ModuleList
label_desc: Use image node_id 2 for calling the NGNN_GCNConv obj's underlying member method code with example usage: obj.reset_parameters() without return types