This repository has been archived by the owner on Jul 9, 2024. It is now read-only.
Releases: awslabs/realtime-fraud-detection-with-gnn-on-dgl
Releases · awslabs/realtime-fraud-detection-with-gnn-on-dgl
v2.0.5
v2.0.4
v2.0.4-rc0
- pin Neptune engine version to 1.2.0.1
v2.0.3
v2.0.2
v2.0.2-rc0
- fix: bump Lambda runtime to Nodejs 16.x and Python 3.9
- feat: (experimental)SageMaker serverless Inference
v2.0.1
v2.0.1-rc0-rel
Merge tag 'v2.0.1-rc0' into cfn-rel
v2.0.1-rc0
chore: bump projen and version to 2.0.1
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