Before revision: Groups of Small and Medium Enterprises (SME) back each other and form guarantee network to obtain loan from banks . The risk over the networked enterprises may cause significant contagious damage. To dissolve such risks , we propose  a hybrid feature representation, which is feeded into a gradient boosting model for credit risk assessment of guarantee network.
After revision: Networked-guarantee loans may cause the systemic risk related concern of the government and banks in China. The prediction of default of enterprise loans is a typical extremely imbalanced prediction problem, and the networked-guarantee make this problem more difficult to solve. Since the guaranteed loan is a debt obligation promise, if one enterprise in the guarantee network falls into a financial crisis, the debt risk may spread like a virus across the guarantee network, even lead to a systemic financial crisis. In this paper , we propose a hybrid feature representation, which is feeded into a gradient boosting model for credit risk assessment of guarantee network.