IBM / AML-DataLinks
The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few represent money laundering. The data is in CSV format. The data is generated using a multi-agent virtual world model. All of the agents in the virtual world have actions governed by s…
☆68Updated 4 months ago
Alternatives and similar repositories for AML-Data
Users that are interested in AML-Data are comparing it to the libraries listed below
Sorting:
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆334Updated 4 months ago
- Multi-GNN architectures for Anti-Money Laundering.☆101Updated 4 months 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
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆47Updated 4 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
- Repository for Fraud Dataset Benchmark☆243Updated 2 years ago
- Node Embeddings in Dynamic Graphs☆57Updated 4 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆104Updated last year
- Financial Simulator of Mobile Money Service☆117Updated 4 years ago
- Accompanying repository for my book about Graph Data Science☆86Updated 2 years ago
- Anti Money Laundering Detection using Graph Attention Network☆65Updated 2 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- Simulation framework for customs fraud detection using import declarations.☆32Updated 2 years ago
- Graph Machine Learning, published by Packt☆339Updated last month
- AML End to End Example☆55Updated 3 years ago
- Exploring Neo4j and Graph Data Science for Fraud Detection☆82Updated 2 years ago
- DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.☆15Updated 2 years ago
- ☆10Updated 3 years ago
- Multiplex: visualizations that tell stories—A Python library to create and annotate beautiful network graph visualizations, text visualiz…☆114Updated 3 years ago
- Social Network Analysis in Python and Julia using Networkx,IGraph and LightGraphs.jl☆51Updated last year
- Generator for graph of transactions. Is kind of optimized for large graph generations. Contains graph structure generation, nodes informa…☆30Updated 2 years ago
- Fraud detection using Graph Convolutional Networks☆13Updated 3 years ago
- Python package for utilizing TigerGraph Databases☆34Updated 3 months ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆136Updated 3 years ago
- Material and Notebooks for the Graph Powered ML Workshop.☆98Updated last year
- ☆31Updated 3 years ago
- Synthetic Credit Card Transaction Generator used in the Sparkov program.☆165Updated 3 years ago
- PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms.…☆283Updated 2 weeks ago
- ☆30Updated 4 years ago
- Record matching and entity resolution at scale in Spark☆36Updated 2 years ago