issacchan26 / AntiMoneyLaunderingDetectionWithGNNLinks
Anti Money Laundering Detection using Graph Attention Network
☆50Updated 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.☆80Updated 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
- Experimenting Graph Neural Network with Elliptic dataset (Anti-Money Laundering)☆14Updated last year
- EvolveGCN applied to Elliptic dataset☆30Updated 3 years ago
- Interbank Risk Rating: Datasets and Methods☆18Updated 4 months ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆126Updated last year
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆132Updated 3 years ago
- ☆25Updated 2 years ago
- (WWW 2021) Source code of PC-GNN☆104Updated 3 years ago
- The source code of the experimental evaluation of Deprez et al. (nd)☆11Updated last month
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆276Updated 2 years ago
- Fraud detection using Graph Convolutional Networks☆11Updated 3 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆91Updated 11 months ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆41Updated 4 years ago
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆53Updated 5 months ago
- This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…☆20Updated 5 years ago
- The official implementation of the DGA-GNN algorithm.☆27Updated 11 months ago
- ☆24Updated 11 months ago
- ☆29Updated last year
- Fraud detection in bank transactions using graph databases and machine learning.☆22Updated 5 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 9 months ago
- Pre-trained Online Contrastive Learning for Insurance Fraud Detection☆11Updated 11 months ago
- ☆68Updated last year
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated last year
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated last year
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆31Updated 2 years ago
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆38Updated 3 years ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆12Updated last year
- Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses☆101Updated last year
- Data repository for PyGOD☆42Updated last year