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Detecting Fraud and Money Laundering in Real-Time with a Graph Database Part 1

Recorded SEPTEMBER 12, 2018

This is the 3rd episode that will continue TigerGraph's Graph Guru series, a free educational webinar series for developers and data scientists.

CNBC aired a shocking segment called "The Extortionist" where hundreds of Americans recently lost large sums of money to phone based scams. In our third episode of TigerGraph's Graph Gurus webinar series, we cover a solution in production at China Mobile that detects and prevents phone based scams.

In this episode learn how China Mobile is:

  • Using graph analytics to find phone scam artists among 460 million subscribers in real time based on phone calling patterns.
  • Feeding training data generated by graph with 54 billion new features to improve machine learning accuracy.
  • Viewers will receive links for a synthetic dataset as well as graph queries built for detecting phone based fraud using the TigerGraph Developer Edition.

We  also cover a money laundering use case (deployed at Alipay, Perfect World and other financial services companies) as the second half of the episode. 


Mingxi Wu, VP of Engineering, TigerGraph 

Dr. Dan Hu - Lead Software Engineer, TigerGraph 

Victor Lee, Director of Product Management, TigerGraph