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…
☆333Updated 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☆747Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆136Updated 3 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Updated 3 years ago
- Multi-GNN architectures for Anti-Money Laundering.☆100Updated 4 months 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
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆302Updated 3 years ago
- The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions…☆68Updated 4 months ago
- A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources☆1,767Updated 2 weeks ago
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆652Updated last month
- Financial Simulator of Mobile Money Service☆117Updated 4 years ago
- ☆72Updated 2 years ago
- Anti Money Laundering Detection using Graph Attention Network☆65Updated 2 years ago
- A repository for financial fraud detection☆310Updated 7 months ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆408Updated last year
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆381Updated 2 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆104Updated last year
- Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)☆89Updated last year
- This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…☆20Updated 6 years ago
- Paper collection for graph based models in finance application☆112Updated 4 years ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,474Updated last year
- Repository for Fraud Dataset Benchmark☆242Updated 2 years ago
- ☆356Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆608Updated 4 years ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆553Updated 4 months ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆46Updated 4 years ago
- TGN: Temporal Graph Networks☆1,158Updated last year
- Python library assists deep learning on graphs☆567Updated 2 months ago
- Visualization tool for Graph Neural Networks☆257Updated 3 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆931Updated 3 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆296Updated 3 years ago