awslabs / realtime-fraud-detection-with-gnn-on-dglLinks
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.
☆222Updated last year
Alternatives and similar repositories for realtime-fraud-detection-with-gnn-on-dgl
Users that are interested in realtime-fraud-detection-with-gnn-on-dgl are comparing it to the libraries listed below
Sorting:
- Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks☆104Updated last year
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆133Updated 3 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆45Updated 4 years ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆434Updated 2 weeks ago
- A Deep Graph-based Toolbox for Fraud Detection☆740Updated 3 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 years ago
- ☆28Updated 6 months ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆288Updated 3 years ago
- ☆71Updated 2 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆34Updated 2 years ago
- Visualization tool for Graph Neural Networks☆254Updated 3 years ago
- Fraud detection in bank transactions using graph databases and machine learning.☆26Updated 5 years ago
- ☆213Updated last year
- Exploring Neo4j and Graph Data Science for Fraud Detection☆75Updated 2 years ago
- Financial Simulator of Mobile Money Service☆112Updated 4 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆373Updated 2 years ago
- RGCN model for real-time fraud detection☆10Updated 2 years ago
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆310Updated last month
- An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGra…☆38Updated 3 years ago
- A repository for financial fraud detection☆294Updated 4 months ago
- AML End to End Example☆55Updated 3 years ago
- Multi-GNN architectures for Anti-Money Laundering.☆90Updated last month
- Anti Money Laundering Detection using Graph Attention Network☆60Updated 2 years ago
- Repository for Fraud Dataset Benchmark☆217Updated 2 years ago
- Graph Neural Networks for Recommender Systems☆295Updated 4 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Temporal Graph Benchmark project repo☆236Updated 2 weeks ago
- ☆138Updated last year
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆47Updated last year
- Code and Content for Manning Publication on Graph Neural Networks☆100Updated 8 months ago