Graph data + graph algorithms + machine learning for fraud detection/prevention

I'm looking for examples using Neo4j graph data processed with graph algorithms - AND - integrated into machine learning algorithms, preferably in Python, for fraud detection/prevention. Any examples out there? Thanks!

Fraud detection
Here you can find sample python code for fraud detection. Not sure if we still have an integrated example using ML.

Thank you!