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.
☆228Mar 31, 2024Updated 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☆106May 3, 2024Updated last year
- A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources☆1,790Jan 31, 2026Updated last month
- RGCN model for real-time fraud detection☆11Jan 27, 2023Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection☆749Apr 20, 2022Updated 3 years ago
- ☆72Jul 25, 2023Updated 2 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Apr 18, 2022Updated 3 years ago
- Fraud detection data generation with configurable degree distribution& community structure, ready for NebulaGraph.☆28Apr 19, 2024Updated last year
- NebulaGraph DGL(Deep Graph Library) Integration Package. (WIP)☆38Mar 14, 2024Updated last year
- [Deprecated] This solution helps customers reduce operational complexity and enables administrators to quickly create manual, event-based…☆14Mar 8, 2023Updated 3 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Nov 24, 2020Updated 5 years ago
- Code for the paper submission: "Modelling graph dynamics in fraud detection with ``Attention""☆11Feb 10, 2022Updated 4 years ago
- ☆13Aug 5, 2024Updated last year
- Guidance for Clickstream Analytics on AWS source code☆86Oct 13, 2025Updated 4 months ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆34May 20, 2023Updated 2 years ago
- Fraud detection in bank transactions using graph databases and machine learning.☆26May 2, 2020Updated 5 years ago
- Listing the research works related to risk control based on GNN and its interpretability. 1. we can learn the application of GNN in risk …☆12Sep 24, 2021Updated 4 years ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆15Sep 24, 2023Updated 2 years ago
- A simple cost-effective web application to build and publish dashboards.☆176Nov 22, 2024Updated last year
- Code to support Databases blog post - How to offload data from your transactional NoSQL database to Amazon S3, perform advanced analytics…☆15Mar 26, 2020Updated 5 years ago
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆35May 24, 2024Updated last year
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,327Aug 8, 2025Updated 7 months ago
- A curated list of data mining papers about fraud detection.☆1,782Jan 5, 2026Updated 2 months ago
- Examples of serverless Lambda functions integrated with API Gateway and CORS enabled☆17Apr 10, 2020Updated 5 years ago
- How to implement Step-up Authentication using Amazon Cognito☆35Feb 10, 2026Updated last month
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆50May 29, 2021Updated 4 years ago
- ☆21Aug 2, 2021Updated 4 years ago
- DocAI helps developers quickly build document, image and text processing pipelines using open source and cloud-based machine learning mod…☆21Dec 9, 2022Updated 3 years ago
- Utilities for use with the AWS Discovery Service API☆28Jan 14, 2026Updated last month
- ☆217Dec 25, 2023Updated 2 years ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,474Nov 14, 2024Updated last year
- 2021MXAP-DGL rank2☆35Mar 23, 2022Updated 3 years ago
- The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning☆34May 21, 2021Updated 4 years ago
- This Guidance demonstrates how to use historical battery health data with artificial intelligence and machine learning (AI/ML) algorithms…☆25Oct 19, 2024Updated last year
- Referece code for protecting your Amazon CloudFront media distributions with AWS Cognito JWT Token, Lambda@Edge and Video.js☆24Sep 27, 2025Updated 5 months ago
- A Python library to simplify batch requests to AWS Services☆12Apr 25, 2020Updated 5 years ago
- ☆11Aug 10, 2022Updated 3 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆294Apr 21, 2021Updated 4 years ago
- Senior Capstone Project: Graph-Based Product Recommendation☆44Mar 15, 2021Updated 4 years ago
- ☆25Nov 22, 2024Updated last year