code: def reset_parameters(self):
      for emb in self.embs.values():
          torch.nn.init.xavier_uniform_(emb)
      for conv in self.convs:
          conv.reset_parameters()
  
imports: import copy
  import argparse
  import torch
  import torch.nn.functional
  from torch.nn import Parameter, ModuleDict, ModuleList, Linear, ParameterDict
  from torch_sparse import SparseTensor
  from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
  from logger import Logger
label_desc: Use image node_id 2 for calling the RGCN obj's underlying member method code with example usage: obj.reset_parameters() without return types