code: def get_encoder_decoder_hp(model="gat", decoder="lpdecoder"):
      if model == "gat":
          model_hp = {
              "num_layers": 2,
              "hidden": [16, 16],
              "dropout": 0.0,
              "act": "relu",
              "num_hidden_heads": 8,
              "num_output_heads": 8,
          }
      elif model == "gcn":
          model_hp = {
              "hidden": [128, 64],
              "dropout": 0.0,
              "act": "relu",
          }
      elif model == "sage":
          model_hp = {
              "num_layers": 3,
              "hidden": [128, 64],
              "dropout": 0.0,
              "act": "relu",
              "agg": "mean",
          }
  
      return model_hp, {}
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_encoder_decoder_hp(model, decoder) and returns: model_hp,  dict