aravind-sundaresan / Graph-ML-Fraud-DetectionLinks
Fraud detection in bank transactions using graph databases and machine learning.
☆22Updated 5 years ago
Alternatives and similar repositories for Graph-ML-Fraud-Detection
Users that are interested in Graph-ML-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
- Fraud detection using Graph Convolutional Networks☆11Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆132Updated 3 years ago
- RGCN model for real-time fraud detection☆9Updated 2 years ago
- Pre-trained Online Contrastive Learning for Insurance Fraud Detection☆11Updated 11 months ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆46Updated 8 months ago
- EvolveGCN applied to Elliptic dataset☆30Updated 3 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 years ago
- An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGra…☆36Updated 2 years ago
- Simulation framework for customs fraud detection using import declarations.☆30Updated 2 years ago
- Anti Money Laundering Detection using Graph Attention Network☆50Updated last year
- Listing the research works related to risk control based on GNN and its interpretability. 1. we can learn the application of GNN in risk …☆12Updated 3 years ago
- ☆68Updated last year
- Interbank Risk Rating: Datasets and Methods☆18Updated 4 months ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆41Updated 4 years ago
- ☆10Updated 6 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
- Anomaly detection algorithm for social networks using Graph Neural Networks by leveraging graph parameteres, between centrality, degree, …☆12Updated 5 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆31Updated 2 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 6 years ago
- ☆24Updated last year
- ☆10Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 9 months ago
- A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)☆30Updated 4 years ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated last year
- This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…☆20Updated 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
- ☆33Updated 5 years ago
- Exploring Neo4j and Graph Data Science for Fraud Detection☆73Updated 2 years ago
- ☆39Updated 2 years ago