Taking the Pulse of Financial Activities with Online Graph Processing

摘要

Graph processing has been widely adopted in various financial scenarios at Ant Group to detect malicious and prohibited user behaviors. The low latency requirement under big data volume and high throughput raises rigorous challenges for efficient online graph processing. This paper gives a brief introduction of our encountered issues, the current solutions, and some future directions we are exploring.