amazon-science / fraud-dataset-benchmark
Repository for Fraud Dataset Benchmark
☆168Updated 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
- ☆67Updated last year
- Multi-GNN architectures for Anti-Money Laundering.☆70Updated last year
- Simulation framework for customs fraud detection using import declarations.☆30Updated 2 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆40Updated 3 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆33Updated last year
- A repository for financial fraud detection☆243Updated last month
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆264Updated 2 years ago
- An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and D…☆213Updated last year
- Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks☆99Updated 11 months ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆87Updated 9 months ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆407Updated this week
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆130Updated 2 years ago
- Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook☆563Updated last year
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆281Updated 2 years ago
- Anti Money Laundering Detection using Graph Attention Network☆44Updated last year
- Financial Simulator of Mobile Money Service☆108Updated 3 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆351Updated last year
- Fraud detection using Graph Convolutional Networks☆12Updated 2 years ago
- The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions…☆47Updated last year
- AML End to End Example☆54Updated 2 years ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated last year
- Fraud detection in bank transactions using graph databases and machine learning.☆21Updated 4 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆133Updated 3 years ago
- Code and Content for Manning Publication on Graph Neural Networks☆77Updated last month
- ☆48Updated 4 years ago
- A Deep Graph-based Toolbox for Fraud Detection☆721Updated 2 years ago
- Graph Machine Learning, published by Packt☆276Updated 2 years ago
- Exploring Neo4j and Graph Data Science for Fraud Detection☆72Updated last year
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- Tabular Deep Learning Library for PyTorch☆640Updated this week