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)
  
imports: import argparse
  import math
  import dgl
  import torch
  import torch.nn.functional
  from dgl.dataloading.negative_sampler import GlobalUniform
  from dgl.nn.pytorch import GraphConv, SAGEConv
  from ogb.linkproppred import DglLinkPropPredDataset, Evaluator
  from torch.nn import Linear
  from torch.utils.data import DataLoader
label_desc: Use image node_id 2 for calling the NGNN_SAGEConv obj's underlying member method code with example usage: obj.reset_parameters() without return types