code: def reset_parameters(self):
      stdv = 1.0 / math.sqrt(self.weight.size(1))
      self.weight.data.uniform_(-stdv, stdv)
      if self.bias is not None:
          stdv = 1.0 / math.sqrt(self.bias.size(0))
          self.bias.data.uniform_(-stdv, stdv)
  
imports: import math
  from functools import partial
  import dgl.function
  import dgl.nn.pytorch
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl import function
  from dgl._ffi.base import DGLError
  from dgl.base import ALL
  from dgl.nn.pytorch.utils import Identity
  from dgl.ops import edge_softmax
  from dgl.utils import expand_as_pair
  from torch.nn import init
  from torch.utils.checkpoint import checkpoint
label_desc: Use image node_id 2 for calling the MWEConv obj's underlying member method code with example usage: obj.reset_parameters() without return types