issacchan26 / AntiMoneyLaunderingDetectionWithGNNLinks
Anti Money Laundering Detection using Graph Attention Network
☆53Updated last year
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.☆85Updated last year
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆33Updated 2 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆132Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆280Updated 2 years ago
- A repository for financial fraud detection☆276Updated 2 months ago
- Fraud detection using Graph Convolutional Networks☆12Updated 3 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆41Updated 4 years ago
- ☆71Updated 2 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆95Updated last year
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆364Updated 2 years ago
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆296Updated 3 months ago
- ☆26Updated last year
- ☆136Updated last year
- Paper collection for graph based models in finance application☆106Updated 4 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 10 months ago
- Interbank Risk Rating: Datasets and Methods☆18Updated 6 months ago
- EvolveGCN applied to Elliptic dataset☆30Updated 3 years ago
- The official implementation of the DGA-GNN algorithm.☆27Updated last year
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- Fraud detection in bank transactions using graph databases and machine learning.☆23Updated 5 years ago
- ☆24Updated 2 years ago
- Repository for Fraud Dataset Benchmark☆193Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- The source code of the experimental evaluation of Deprez et al. (nd)☆11Updated 2 weeks ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated 2 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆99Updated last month
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated 2 years ago
- Experimenting Graph Neural Network with Elliptic dataset (Anti-Money Laundering)☆14Updated last year
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆39Updated 3 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆48Updated 8 months ago