Recent Releases of https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.5
Changelogs
- fix: add missing sagemaker:AddTags to sfn execute role
- fix: explicitly set log bucket object ownership for S3 ACL change
- TypeScript
Published by zxkane about 3 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.4
- pin Neptune engine version to 1.2.0.1
- TypeScript
Published by zxkane over 3 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.4-rc0
- pin Neptune engine version to 1.2.0.1
- TypeScript
Published by zxkane over 3 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.3
Changelogs
- fix: learning rate and epoch in training
- TypeScript
Published by zxkane almost 4 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.2
Changelogs
- feat: (experimental)SageMaker serverless Inference
- fix: bump Lambda runtime to Nodejs 16.x and Python 3.9
- fix: update documentdb certificate when deploying to AWS China regions
- TypeScript
Published by zxkane almost 4 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.2-rc0
- fix: bump Lambda runtime to Nodejs 16.x and Python 3.9
- feat: (experimental)SageMaker serverless Inference
- TypeScript
Published by zxkane almost 4 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.1
- Fix CloudFormation deployment due to expired Api key of graphql #272
- TypeScript
Published by zxkane over 4 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.1-rc0-rel
- TypeScript
Published by zxkane over 4 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.1-rc0
- TypeScript
Published by zxkane over 4 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.0
It’s an end-to-end solution for real-time fraud detection which leverages graph database Amazon Neptune, 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.
- model training pipeline
- online business monitor
- online docs
- TypeScript
Published by zxkane over 4 years ago
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl - v2.0.0-rc.0
- TypeScript
Published by zxkane over 4 years ago