Before revision:  The evaluation results show that the proposed method can achieve up to 100x speedup ratio compared with baseline methods. Case studies are further conducted in the deployed systemto demonstrate the effectiveness of proposed model .
After revision:  The evaluation results show that the proposed method can achieve up to 2 orders of magnitudes speedup compared with the baseline approach. Moreover, to further verify the advantages of our model in real-life scenarios, we integrate the proposed techniques with our current loan risk control system, which is deployed in the collaborated bank, for more evaluation. Particularly, we show that our proposed new model has superior performance on real-life guaranteed-loan network data, which can better predict the default risks of enterprises compared to the state-of-the-art techniques .