Fraud Detection with Graph Neural Networks (PyTorch Geometric)
Budget: €30 – €250 EUR
I'm seeking a skilled data scientist or machine learning engineer to help me with a project on fraud detection.
Key Points:
- The purpose of the project is to identify fraudulent activity in a social network.
- The dataset will be provided in CSV format. Before applying Graph Neural Networks (GNN) for node classification, there are specific feature engineering tasks that need to be completed.
Ideal Skills:
- Strong background in machine learning, particularly with graph neural networks and node classification.
- Experience with feature engineering specific to time-based data (e.g., Von Mises distribution).
- Familiarity with fraud detection techniques and best practices in the field.
I'm looking to have this project completed as soon as possible. Please only apply if you can commit to this timeline.
Key Points:
- The purpose of the project is to identify fraudulent activity in a social network.
- The dataset will be provided in CSV format. Before applying Graph Neural Networks (GNN) for node classification, there are specific feature engineering tasks that need to be completed.
Ideal Skills:
- Strong background in machine learning, particularly with graph neural networks and node classification.
- Experience with feature engineering specific to time-based data (e.g., Von Mises distribution).
- Familiarity with fraud detection techniques and best practices in the field.
I'm looking to have this project completed as soon as possible. Please only apply if you can commit to this timeline.