小弟使用tensorflow GNN建立模型，跟著範例(如下方連結)操作完全無誤，改成自己的資料時，出現模型輸出後，卻讀不進來的狀況，已經鎖定是新增特徵的寫法有誤，想問問解決方向，謝謝

範例
github

'讀模型失敗'
from keras.models import load_model
edge_model.save(path + "edge_model")
edge_model = tf.keras.models.load_model(path + "edge_model",custom_objects=None, compile=True, options=None)

'可能錯誤的地方 : Concatenate，測試 axis = -1、2、1、0 皆失敗'
def set_initial_node_state(node_set, node_set_name):
    features = [
        tf.keras.layers.Dense(32,activation="relu")(node_set['buy'])
        ]
    return tf.keras.layers.Concatenate()(features) 

def set_initial_edge_state(edge_set, edge_set_name):
    features = [
        tf.keras.layers.Dense(32,activation="relu")(edge_set['same_ph2'])
    ]
    return tf.keras.layers.Concatenate()(features)

錯誤代碼

Exception encountered when calling layer "concatenate" (type Concatenate).

A merge layer should be called on a list of inputs. Received: inputs=Tensor("Placeholder:0", shape=(None, 32), dtype=float32) (not a list of tensors)

Call arguments received by layer "concatenate" (type Concatenate):
  • inputs=tf.Tensor(shape=(None, 32), dtype=float32)