CARE-GNN
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Detect fraudulent activities using advanced techniques in graph-based machine learning.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeCode for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
CARE-GNN has 317 stars on GitHub. It has been forked 64 times. CARE-GNN is written mainly in Python. It has been in active development since 2020. CARE-GNN is available under the Apache-2.0 license. Its main topics are datamining, deep-learning, fraud-detection, fraud-prevention.
What is CARE-GNN?
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Is CARE-GNN open source?
CARE-GNN is an open-source project. It is released under the Apache-2.0 license.
Is CARE-GNN free?
Yes. CARE-GNN is free and open source — you can use, modify and self-host it.
What license does CARE-GNN use?
CARE-GNN is available under the Apache-2.0 license.
What language is CARE-GNN written in?
CARE-GNN is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/yingtongdou-care-gnn.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.