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.
How to download and setup realtime-fraud-detection-with-gnn-on-dgl
Open terminal and run command
git clone https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl.git
git clone is used to create a copy or clone of realtime-fraud-detection-with-gnn-on-dgl repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with realtime-fraud-detection-with-gnn-on-dgl https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl/archive/master.zip
Or simply clone realtime-fraud-detection-with-gnn-on-dgl with SSH
[email protected]:awslabs/realtime-fraud-detection-with-gnn-on-dgl.git
If you have some problems with realtime-fraud-detection-with-gnn-on-dgl
You may open issue on realtime-fraud-detection-with-gnn-on-dgl support forum (system) here: https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl/issuesSimilar to realtime-fraud-detection-with-gnn-on-dgl repositories
Here you may see realtime-fraud-detection-with-gnn-on-dgl alternatives and analogs
data-science-ipython-notebooks saws aws-doc-sdk-examples sensu-plugins-aws apex retinal up dev-setup zentral lambda-packs amazon-sagemaker-examples awesome-aws chalice serverless-application-model aws-sam-cli aws-mobile-react-native-starter serverless-express cloud-custodian serverless-chrome streamalert MoonMail aws-serverless-workshops archive_aws-lambda-go-shim dawson-cli archive_aws-lambda-go binaryalert lambda-packages aws-mobile-react-sample stopstalk-deployment serverless-typescript-starter