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.
☆229Mar 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. 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☆106May 3, 2024Updated last year
- A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources☆1,797Jan 31, 2026Updated last month
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆136Apr 20, 2022Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆305Oct 11, 2022Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection☆750Apr 20, 2022Updated 3 years ago
- ☆73Jul 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 3 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
- Fraud detection data generation with configurable degree distribution& community structure, ready for NebulaGraph.☆28Apr 19, 2024Updated last year
- Code for the paper submission: "Modelling graph dynamics in fraud detection with ``Attention""☆11Feb 10, 2022Updated 4 years ago
- This repository contains sample code for ML on graph use cases using Amazon Neptune ML☆15Dec 14, 2021Updated 4 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
- 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 5 months ago
- A curated list of data mining papers about fraud detection.☆1,785Jan 5, 2026Updated 2 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
- Paper collection for graph based models in finance application☆114Apr 27, 2021Updated 4 years ago
- 2021MXAP-DGL rank2☆35Mar 23, 2022Updated 4 years ago
- ☆11Aug 10, 2022Updated 3 years ago
- Automate rule management for AWS Network Firewall☆17Mar 17, 2026Updated last week
- Generate directly usable AWS CloudFormation template☆45Oct 17, 2023Updated 2 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,330Aug 8, 2025Updated 7 months ago
- ☆10Feb 11, 2021Updated 5 years ago
- MAXP 命题赛 任务一：基于DGL的图机器学习任务。队伍：Graph@ICT，🥉rank6。https://www.biendata.xyz/competition/maxp_dgl/☆31Jun 9, 2022Updated 3 years ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,482Nov 14, 2024Updated last year
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆35May 24, 2024Updated last year
- Deploy open-source LLMs on AWS in minutes — with OpenAI-compatible APIs and a powerful CLI/SDK toolkit.☆74Aug 26, 2025Updated 6 months ago
- Some code and extra information about the paper "Continued pre-training of LLMs for Portuguese and Government domain: A proposal for prod…☆10Mar 9, 2024Updated 2 years ago
- ☆21Aug 2, 2021Updated 4 years ago
- Exploring Neo4j and Graph Data Science for Fraud Detection☆82Jun 12, 2023Updated 2 years ago
- ☆60Dec 1, 2022Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆135Dec 25, 2023Updated 2 years ago
- Visualization tool for Graph Neural Networks☆259Sep 20, 2022Updated 3 years ago
- ☆217Dec 25, 2023Updated 2 years ago
- Synthetic Credit Card Transaction Generator used in the Sparkov program.☆170Jun 22, 2022Updated 3 years ago
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆348Sep 17, 2025Updated 6 months ago
- TypeScript types for Amazon States Language (AWS Step Functions)☆32Dec 9, 2022Updated 3 years ago