IBM / Multi-GNNLinks
Multi-GNN architectures for Anti-Money Laundering.
☆85Updated last year
Alternatives and similar repositories for Multi-GNN
Users that are interested in Multi-GNN are comparing it to the libraries listed below
Sorting:
- Anti Money Laundering Detection using Graph Attention Network☆53Updated last year
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆95Updated 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
- Repository for Fraud Dataset Benchmark☆193Updated last year
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆280Updated 2 years ago
- Temporal Graph Benchmark project repo☆232Updated 2 weeks ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆132Updated 3 years ago
- ☆136Updated last year
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆296Updated 3 months ago
- Paper collection for graph based models in finance application☆106Updated 4 years ago
- Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses☆105Updated last year
- A repository for financial fraud detection☆276Updated 2 months ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆364Updated 2 years ago
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆57Updated 6 months ago
- Dynamic Graph Benchmark☆82Updated 2 years ago
- ☆26Updated last year
- A curated list of graph data augmentation papers.☆312Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆183Updated last year
- my implement of my paper☆63Updated 3 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆253Updated last year
- 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☆48Updated 8 months ago
- Fraud detection using Graph Convolutional Networks☆12Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆98Updated 3 weeks ago
- ☆212Updated last year
- The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions…☆55Updated last year
- Implement EvolveGCN by DGL.☆26Updated 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
- The source code of the experimental evaluation of Deprez et al. (nd)☆11Updated 2 weeks ago