def reset_parameters(self):
        r"""

        Description
        -----------
        Reinitialize learnable parameters.

        Note
        ----
        The model parameters are initialized using Glorot uniform initialization
        and the bias is initialized to be zero.
        """
        gain = init.calculate_gain("relu")
        if self.bias is not None:
            nn.init.zeros_(self.bias)
        if isinstance(self.res_fc, nn.Linear):
            nn.init.xavier_normal_(self.res_fc.weight, gain=gain)


        Description
        -----------
        Reinitialize learnable parameters.

        Note
        ----
        The model parameters are initialized using Glorot uniform initialization
        and the bias is initialized to be zero.
        
python/dgl/nn/pytorch/conv/nnconv.py