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 3 months ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆135Updated 3 years 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
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆299Updated 3 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆377Updated 2 years ago
- ☆31Updated 3 years ago
- A repository for financial fraud detection☆304Updated 6 months ago
- The official implementation of the DGA-GNN algorithm.☆29Updated last year
- (WWW 2021) Source code of PC-GNN☆107Updated 4 years ago
- ☆28Updated last year
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆103Updated last year
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆73Updated 11 months ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆133Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆78Updated last year
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆14Updated 2 years ago
- ☆72Updated 2 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
- EvolveGCN applied to Elliptic dataset☆31Updated 4 years ago
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆323Updated 3 months ago
- Fraud detection in bank transactions using graph databases and machine learning.☆26Updated 5 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆194Updated last year
- Paper collection for graph based models in finance application☆113Updated 4 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
- This is a repository contaning baseline code for DGraphFin Dataset☆135Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆52Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆283Updated 2 years ago
- ☆31Updated 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
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆82Updated 7 months ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆109Updated 5 months ago