realtime-fraud-detection-with-gnn-on-dgl
awslabs
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
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3 data points · 2022-11-01 → 2025-09-01How do you feel about this project?
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Question copied to clipboardWhat is the awslabs/realtime-fraud-detection-with-gnn-on-dgl GitHub project? Description: "An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.". Written in TypeScript. Explain what it does, its main use cases, key features, and who would benefit from using it.
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