Build a GNN-based real-time fraud detection solution using Amazon SageMaker, Amazon Neptune, and the Deep Graph Library

We focus on four tasks:

• Processing a tabular transaction dataset into a heterogeneous graph dataset
• Training a GNN model using SageMaker
• Deploying the trained GNN models as a SageMaker endpoint
• Demonstrating real-time inference for incoming transactions

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