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An end-to-end solution 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.

Home Page: https://awslabs.github.io/realtime-fraud-detection-with-gnn-on-dgl/

License: Apache License 2.0

JavaScript 4.33% Dockerfile 0.43% Python 20.87% Shell 0.64% HTML 0.47% TypeScript 65.88% SCSS 1.93% Jupyter Notebook 5.45%

realtime-fraud-detection-with-gnn-on-dgl's Introduction

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hey there ๐Ÿ‘‹

๐Ÿ‘ฉโ€๐Ÿ’ป About Me

I'm Amar Mattaparthi from Hyderabad, India

- ๐Ÿ”ญ Iโ€™m working as Lead Cloud Engineer
- ๐Ÿ“š I'm currently learning AWS, DevOps, Python
- โšก In my free time I work on Improving my skills

๐Ÿ›  Language and tools

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๐Ÿ”ฅ My Stats :

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realtime-fraud-detection-with-gnn-on-dgl's People

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