Hey Gvelez,
I don’t think other people would share that. Perhaps for security reasons.
It would be nice to have things like that to make available to the community. I’ve thought about creating something myself, but I don’t have any experience in the field of fraud detection.
It would be good coming from someone in the market, who lives the problems day by day to share experiences. There are models out there on the internet about this. That if applied the same logic in Dgraph works, but needs “transport” to Dgraph way. Any GraphDB can perform any kind of activity that all other GraphDBs can do. Unless it has a completely different paradigm.
In general, it is a matter of identifying patterns, having a solid data model, and making adjustments. And GraphDBs are the best way to see patterns.
Today Dgraph has GraphQL, so using the Subscription model I believe that some tasks related to fraud detection could use this. To have a “live” response.
Cheers.