awslabs / realtime-fraud-detection-with-gnn-on-dgl
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.
RepositoryStats indexes 617,578 repositories, of these awslabs/realtime-fraud-detection-with-gnn-on-dgl is ranked #178,939 (71st percentile) for total stargazers, and #111,927 for total watchers. Github reports the primary language for this repository as TypeScript, for repositories using this language it is ranked #13,337/48,292.
awslabs/realtime-fraud-detection-with-gnn-on-dgl has 19 open pull requests on Github, 227 pull requests have been merged over the lifetime of the repository.
Github issues are enabled, there are 2 open issues and 29 closed issues.
There have been 11 releases, the latest one was published on 2023-04-21 (about a year ago) with the name v2.0.5.
Homepage URL: https://awslabs.github.io/realtime-fraud-detection-with-gnn-on-dgl/
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105 commits on the default branch (main) since jan '22
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The primary language is TypeScript but there's also others...
updated: 2025-01-30 @ 04:02am, id: 346584357 / R_kgDOFKh1JQ