IBM / AMLSimLinks
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is…
☆304Updated 4 months ago
Alternatives and similar repositories for AMLSim
Users that are interested in AMLSim are comparing it to the libraries listed below
Sorting:
- A Deep Graph-based Toolbox for Fraud Detection☆737Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆132Updated 3 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 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
- Multi-GNN architectures for Anti-Money Laundering.☆89Updated last year
- ☆72Updated 2 years ago
- The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions…☆58Updated last year
- A curated list of graph-based fraud, anomaly, and outlier detection papers & resources☆1,666Updated 3 months ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆281Updated 2 years ago
- Financial Simulator of Mobile Money Service☆110Updated 4 years ago
- ☆52Updated 5 years ago
- This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…☆20Updated 6 years ago
- Anti Money Laundering Detection using Graph Attention Network☆58Updated last year
- Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)☆88Updated last year
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆639Updated last year
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆365Updated 2 years ago
- Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams☆38Updated 3 years ago
- Repository for Fraud Dataset Benchmark☆202Updated last year
- Visualization tool for Graph Neural Networks☆253Updated 2 years ago
- Simulation framework for customs fraud detection using import declarations.☆31Updated 2 years ago
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆163Updated 4 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆399Updated last year
- An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and D…☆221Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆43Updated 4 years ago
- A repository for financial fraud detection☆279Updated 3 months ago
- A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks"…☆125Updated 2 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆96Updated last year
- Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks☆103Updated last year
- The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)☆176Updated 2 years ago
- Implementation of "Overlapping Community Detection with Graph Neural Networks"☆168Updated 4 years ago