Seondong / Customs-Fraud-DetectionLinks
Simulation framework for customs fraud detection using import declarations.
☆31Updated 2 years ago
Alternatives and similar repositories for Customs-Fraud-Detection
Users that are interested in Customs-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
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆101Updated 2 months ago
- Repository for Fraud Dataset Benchmark☆205Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆43Updated 4 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆36Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆49Updated 9 months ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆132Updated 3 years ago
- Multi-GNN architectures for Anti-Money Laundering.☆89Updated last year
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated 2 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆365Updated 2 years ago
- Fraud detection in bank transactions using graph databases and machine learning.☆25Updated 5 years ago
- ☆71Updated 2 years ago
- ☆51Updated 4 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆282Updated 2 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆186Updated last year
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated 2 years ago
- DATE: Dual Attentive Tree-aware Embedding for Customs Frauds Detection☆63Updated 4 years ago
- ☆24Updated 3 years ago
- This is a Pytorch implementation of GraphLIME☆93Updated 3 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- The official implementation of the DGA-GNN algorithm.☆26Updated last year
- my implement of my paper☆62Updated 4 years ago
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- Fraud detection using Graph Convolutional Networks☆12Updated 3 years ago
- ☆38Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆166Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 3 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆45Updated 3 months ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆24Updated 2 years ago