code: def get_param_dict(self):
      params = {}
      key = f"{self.att_type}_{self.agg_type}_{self.in_channels}_{self.out_channels}_{self.heads}"
      weight_key = key + "_weight"
      att_key = key + "_att"
      agg_key = key + "_agg"
      bais_key = key + "_bais"
  
      params[weight_key] = self.weight
      params[att_key] = self.att
      params[bais_key] = self.bias
      if hasattr(self, "pool_layer"):
          params[agg_key] = self.pool_layer.state_dict()
  
      return params
  
imports: import torch
  from torch import nn
  import torch.nn.functional
  import dgl
  from dgl.nn.pytorch.conv import *
  import dgl.function
  import math
  from dgl.utils import expand_as_pair
  from dgl.nn.functional import edge_softmax
  from torch.nn import Parameter
  import torch
  from torch import Tensor
  from ..scatter_utils import *
  from typing import Optional, Tuple, Union
label_desc: Use image node_id 9 for calling the GeoLayer obj's underlying member method code with example usage: obj.get_param_dict() and returns: params