This project finds scammer customer nodes in a banking graph. Scammer nodes tends to be the one with highly interconnected with other scammer nodes so that they are able to funnel the money around and making it difficult to track the sources of funds.
The problem of finding this highly interconnected nodes is called clique problem in graph theory which is NP-Hard with banks having large customer bases with lot of interactions. We can use quantum computing optimiser such as QAOA to find these scammer nodes and scam rings.
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Team Name: WingCode
Project Description:
This project finds scammer customer nodes in a banking graph. Scammer nodes tends to be the one with highly interconnected with other scammer nodes so that they are able to funnel the money around and making it difficult to track the sources of funds.
The problem of finding this highly interconnected nodes is called clique problem in graph theory which is NP-Hard with banks having large customer bases with lot of interactions. We can use quantum computing optimiser such as QAOA to find these scammer nodes and scam rings.
Presentation:
https://github.com/WingCode/quantum-scam-finder/blob/main/README.md Pitch deck: https://drive.google.com/file/d/1LE_eSIOze6kh9vcpNMevzmwM0LSUSYuz/view?usp=sharing
Source code:
https://github.com/WingCode/quantum-scam-finder/blob/main/qc_clique_scam_finder.ipynb
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