Detecting fraud in real time with Temporal Graph Networks on AWS (Part 2)
- The problem
- A fraud model trained on one payment domain does not generalise to the next.
- Why it matters
- Adds cross-network pre-training, random-forest ensemble scoring and automated drift detection.
- Who should read it
- ML engineers
- What you'll get
- Patterns that make fraud models generalise across domains.
- Series
- Real-time Fraud with TGNs, Part 2 of 2
- Readers
- 188 views on Builder Center
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