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.
☆227Mar 31, 2024Updated 2 years ago
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks☆107May 3, 2024Updated 2 years ago
- An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGra…☆39Aug 6, 2022Updated 3 years ago
- A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources☆1,839May 17, 2026Updated last week
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆139Apr 20, 2022Updated 4 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆311Oct 11, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A Deep Graph-based Toolbox for Fraud Detection☆756Apr 20, 2022Updated 4 years ago
- ☆74Jul 25, 2023Updated 2 years ago
- RGCN model for real-time fraud detection☆11Jan 27, 2023Updated 3 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Apr 18, 2022Updated 4 years ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆16Sep 24, 2023Updated 2 years ago
- Fraud detection data generation with configurable degree distribution& community structure, ready for NebulaGraph.☆28Apr 19, 2024Updated 2 years ago
- Code for the paper submission: "Modelling graph dynamics in fraud detection with ``Attention""☆11Feb 10, 2022Updated 4 years ago
- ☆15Mar 3, 2025Updated last year
- This repository contains sample code for ML on graph use cases using Amazon Neptune ML☆14Dec 14, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 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
- NebulaGraph DGL(Deep Graph Library) Integration Package. (WIP)☆38Mar 14, 2024Updated 2 years ago
- [Deprecated] This solution helps customers reduce operational complexity and enables administrators to quickly create manual, event-based…☆14Mar 8, 2023Updated 3 years ago
- Guidance for Clickstream Analytics on AWS source code☆87Oct 13, 2025Updated 7 months ago
- A curated list of data mining papers about fraud detection.☆1,797Jan 5, 2026Updated 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 3 years ago
- Paper collection for graph based models in finance application☆115Apr 27, 2021Updated 5 years ago
- 2021MXAP-DGL rank2☆35Mar 23, 2022Updated 4 years ago
- ☆11Aug 10, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆15Feb 12, 2026Updated 3 months ago
- A simple cost-effective web application to build and publish dashboards.☆175Nov 22, 2024Updated last year
- Fraud detection in bank transactions using graph databases and machine learning.☆27May 2, 2020Updated 6 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,327Aug 8, 2025Updated 9 months ago
- An End-to-end Outlier Detection System☆256Mar 25, 2023Updated 3 years ago
- ☆10Feb 11, 2021Updated 5 years ago
- ☆13Aug 5, 2024Updated last year
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,494Nov 14, 2024Updated last year
- Deploy open-source LLMs on AWS in minutes — with OpenAI-compatible APIs and a powerful CLI/SDK toolkit.☆75Aug 26, 2025Updated 8 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆35May 24, 2024Updated 2 years ago
- ☆21Aug 2, 2021Updated 4 years ago
- ☆59Dec 1, 2022Updated 3 years ago
- Visualization tool for Graph Neural Networks☆261Sep 20, 2022Updated 3 years ago
- How to train a custom NLP classifier with AWS Comprehend?☆28Nov 9, 2020Updated 5 years ago
- Synthetic Credit Card Transaction Generator used in the Sparkov program.☆174Jun 22, 2022Updated 3 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Nov 6, 2023Updated 2 years ago