Name		Name	Last commit message	Last commit date
parent directory ..
FD_SL_DGL		FD_SL_DGL
data-preprocessing		data-preprocessing
01.FD_SL_Process_IEEE-CIS_Dataset.ipynb		01.FD_SL_Process_IEEE-CIS_Dataset.ipynb
02.FD_SL_Build_Training_Container_Test_Local.ipynb		02.FD_SL_Build_Training_Container_Test_Local.ipynb
03.FD_SL_Endpoint_Deployment.ipynb		03.FD_SL_Endpoint_Deployment.ipynb
README.md		README.md

README.md

GNN Fraud detection on DGL

This folder contains below code,

train RGCN model with DGL by container image in Amazon SageMaker;
deploy the inference endpoint with code in Amazon SageMaker;
test client for inference endpoint;
Jupyter notebooks go through the process of training model, deploying inference endpoint and testing the inference endpoint. NOTE: make sure using the EC2(such as c5.4xlarge, m5.2xlarge or r5.xlarge), SageMaker notebook or local env with 32G+ memory and 100G+ free disk space.