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: from torch_geometric.nn import GATConv, GCNConv, ChebConv, SAGEConv, GatedGraphConv, ARMAConv, SGConv
  import torch_geometric.nn
  import torch
  from torch import nn
  import torch.nn.functional
  import inspect
  import sys
  from torch_scatter import scatter_add
  import torch_scatter
  from torch.nn import Parameter
  from torch_geometric.nn.inits import glorot, zeros
  from torch_geometric.utils import remove_self_loops, add_self_loops, add_remaining_self_loops, softmax
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