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…
☆312Updated last month
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☆744Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆133Updated 3 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 years ago
- Multi-GNN architectures for Anti-Money Laundering.☆92Updated last month
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆292Updated 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
- A curated list of graph-based fraud, anomaly, and outlier detection papers & resources☆1,702Updated 5 months ago
- Financial Simulator of Mobile Money Service☆112Updated 4 years ago
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆641Updated last year
- Anti Money Laundering Detection using Graph Attention Network☆62Updated 2 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
- ☆72Updated 2 years ago
- The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions…☆64Updated last month
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆374Updated 2 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆101Updated last year
- Repository for Fraud Dataset Benchmark☆222Updated 2 years ago
- A repository for financial fraud detection☆296Updated 5 months ago
- An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and D…☆222Updated last year
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆402Updated last year
- ☆214Updated last year
- Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)☆88Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆45Updated 4 years ago
- ☆354Updated 5 years ago
- ☆333Updated last year
- A collection of data mining algorithms on big graphs and time series☆94Updated 3 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
- Fraud detection in bank transactions using graph databases and machine learning.☆26Updated 5 years ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,456Updated 11 months ago
- The source code of the experimental evaluation of Deprez et al. (nd)☆11Updated 3 weeks ago
- ☆53Updated 5 years ago