issacchan26 / AntiMoneyLaunderingDetectionWithGNNLinks
Anti Money Laundering Detection using Graph Attention Network
☆64Updated 2 years ago
Alternatives and similar repositories for AntiMoneyLaunderingDetectionWithGNN
Users that are interested in AntiMoneyLaunderingDetectionWithGNN are comparing it to the libraries listed below
Sorting:
- Multi-GNN architectures for Anti-Money Laundering.☆99Updated 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
- A repository for financial fraud detection☆307Updated 7 months ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆300Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆136Updated 3 years ago
- Fraud detection using Graph Convolutional Networks☆13Updated 3 years ago
- Interbank Risk Rating: Datasets and Methods☆21Updated 11 months ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆15Updated 2 years ago
- ☆33Updated 3 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆380Updated 2 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆46Updated 4 years ago
- ☆72Updated 2 years ago
- ☆27Updated last year
- The source code of the experimental evaluation of Deprez et al. (nd)☆12Updated 3 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆53Updated last year
- ☆31Updated 2 years ago
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆42Updated 4 years ago
- (WWW 2021) Source code of PC-GNN☆107Updated 4 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆104Updated last year
- Experimenting Graph Neural Network with Elliptic dataset (Anti-Money Laundering)☆14Updated last year
- The official implementation of the DGA-GNN algorithm.☆30Updated last year
- Fraud detection in bank transactions using graph databases and machine learning.☆26Updated 5 years ago
- Paper collection for graph based models in finance application☆113Updated 4 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆110Updated 6 months ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆134Updated 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
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆60Updated 4 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆43Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆286Updated 2 years ago
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆327Updated 4 months ago