waittim / graph-fraud-detectionLinks
Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
☆45Updated 4 years ago
Alternatives and similar repositories for graph-fraud-detection
Users that are interested in graph-fraud-detection are comparing it to the libraries listed below
Sorting:
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆34Updated 2 years ago
- Fraud detection using Graph Convolutional Networks☆12Updated 3 years ago
- Multi-GNN architectures for Anti-Money Laundering.☆90Updated last month
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆133Updated 3 years ago
- AML End to End Example☆55Updated 3 years ago
- Simulation framework for customs fraud detection using import declarations.☆32Updated 2 years ago
- Repository for Fraud Dataset Benchmark☆218Updated 2 years ago
- Fraud detection in bank transactions using graph databases and machine learning.☆26Updated 5 years ago
- Graph Machine Learning, published by Packt☆308Updated 3 weeks ago
- Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks☆104Updated last year
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆101Updated last year
- Anti Money Laundering Detection using Graph Attention Network☆60Updated 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
- An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and D…☆222Updated last year
- This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).☆32Updated 3 years ago
- Paper collection for graph based models in finance application☆112Updated 4 years ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆47Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- ☆71Updated 2 years ago
- A repository for financial fraud detection☆294Updated 4 months ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆42Updated 4 years ago
- Exploring Neo4j and Graph Data Science for Fraud Detection☆75Updated 2 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆289Updated 3 years ago
- How to use XGBoost for multi-step time series forecasting☆40Updated 2 years ago
- ☆10Updated 3 years ago
- RGCN model for real-time fraud detection☆10Updated 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…☆87Updated 6 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆104Updated 3 months ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated 2 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 years ago