Use case

Fraud Detection

Investigate a real anonymized data sample from a peer-to-peer (P2P) payment platform, identify fraud patterns, resolve high risk fraud communities, and apply recommendation methods. We will identify new fraud risks that went undetected with non-graph methods, increasing the number of flagged users by 87.5%. Graph Schema: credit cards, devices, and IP addresses. Each user node has an indicator variable for money transfer fraud (named MoneyTransferFraud) that is 1 for known fraud and 0 otherwise. This indicator is determined by a combination of credit card chargeback events and manual review.

Tech stack

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Downloads

Sample dataset

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Schema JSON file

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Query groovy file

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Developer Edition

  • Forever free
  • Single noded
  • Designed for proving your ideas
  • Available via Docker install

Enterprise Edition

  • 30-day free trial with full features
  • Everything in developer edition & enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required