amazon-science / fraud-dataset-benchmarkLinks
Repository for Fraud Dataset Benchmark
☆205Updated last year
Alternatives and similar repositories for fraud-dataset-benchmark
Users that are interested in fraud-dataset-benchmark are comparing it to the libraries listed below
Sorting:
- Multi-GNN architectures for Anti-Money Laundering.☆89Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆43Updated 4 years ago
- Simulation framework for customs fraud detection using import declarations.☆31Updated 2 years ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆431Updated last week
- Graph Machine Learning, published by Packt☆300Updated last week
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆303Updated this week
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆34Updated 2 years ago
- ☆75Updated last year
- Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook☆629Updated last year
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆397Updated 2 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆96Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆101Updated 2 months ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆132Updated 3 years ago
- AML End to End Example☆55Updated 3 years ago
- Code and Content for Manning Publication on Graph Neural Networks☆95Updated 6 months ago
- Anti Money Laundering Detection using Graph Attention Network☆58Updated last year
- Financial Simulator of Mobile Money Service☆110Updated 4 years ago
- A repository for financial fraud detection☆279Updated 3 months ago
- Fraud detection using Graph Convolutional Networks☆12Updated 3 years ago
- 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
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆282Updated 2 years ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆350Updated 2 years ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,447Updated 10 months ago
- ☆49Updated 5 years ago
- ☆71Updated 2 years ago
- An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and D…☆221Updated last year
- Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks☆103Updated last year
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆36Updated last year