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.
☆220Updated 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☆102Updated last year
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆133Updated 3 years ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆426Updated this week
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection☆736Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆280Updated 2 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆33Updated 2 years ago
- ☆28Updated 4 months ago
- ☆71Updated 2 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆41Updated 4 years ago
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆300Updated 3 months ago
- Visualization tool for Graph Neural Networks☆253Updated 2 years ago
- Multi-GNN architectures for Anti-Money Laundering.☆87Updated last year
- ☆213Updated last year
- Financial Simulator of Mobile Money Service☆110Updated 4 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Repository for Fraud Dataset Benchmark☆196Updated last year
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆366Updated 2 years ago
- Exploring Neo4j and Graph Data Science for Fraud Detection☆74Updated 2 years ago
- Anti Money Laundering Detection using Graph Attention Network☆56Updated last year
- 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
- Fraud detection in bank transactions using graph databases and machine learning.☆23Updated 5 years ago
- Graph Neural Networks for Recommender Systems☆295Updated 3 years ago
- ☆136Updated last year
- Temporal Graph Benchmark project repo☆236Updated last month
- AML End to End Example☆55Updated 3 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆468Updated 2 years ago
- Code and Content for Manning Publication on Graph Neural Networks☆94Updated 6 months ago
- A repository for financial fraud detection☆279Updated 2 months ago