Before revision:  In real-world applications,  it is critical to detect top vulnerable nodesin such complex financial network with near real-time performance. To address this challenge, we introduce VulnDS: a top-k vulnerable SME detection system for large-scale financial networks, which is deployed in our collaborated bank.
After revision:  In real-world applications, it is critical to efficiently identify the vulnerable nodes, i.e., nodes with high default risks, such that they could pay more attention to these nodes for the purpose of risk management. In this paper, we propose and investigate the problem of top-k vulnerable SME detection system for large-scale financial networks, which is deployed in our collaborated bank.