Seondong / Customs-Fraud-DetectionLinks
Simulation framework for customs fraud detection using import declarations.
☆30Updated 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…☆33Updated 2 years ago
- Anti Money Laundering Detection using Graph Attention Network☆49Updated last year
- DATE: Dual Attentive Tree-aware Embedding for Customs Frauds Detection☆62Updated 3 years ago
- Repository for Fraud Dataset Benchmark☆179Updated last year
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆131Updated 3 years ago
- Multi-GNN architectures for Anti-Money Laundering.☆76Updated last year
- Fraud detection in bank transactions using graph databases and machine learning.☆21Updated 5 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated last year
- The official implementation of the DGA-GNN algorithm.☆25Updated 10 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆43Updated 6 months ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆96Updated last year
- Code for the paper submission: "Modelling graph dynamics in fraud detection with ``Attention""☆11Updated 3 years ago
- ☆24Updated 2 years ago
- Data repository for PyGOD☆41Updated last year
- ☆38Updated 3 years ago
- ☆35Updated 2 years ago
- Fraud detection using Graph Convolutional Networks☆11Updated 3 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- Pre-trained Online Contrastive Learning for Insurance Fraud Detection☆11Updated 10 months ago
- ☆29Updated last year
- ☆24Updated 2 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 years ago
- ☆67Updated last year
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆57Updated 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
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆274Updated 2 years ago
- ☆21Updated 3 years ago
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆24Updated 3 years ago