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Graph Neural Networks for Fraud Detection in Crypto Transactions
Sept. 1, 2022, 4:04 p.m. | Maria Zorkaltseva
Towards AI - Medium pub.towardsai.net
In this tutorial, we will apply Graph Convolutional Network (GCN) and Graph Attention Network (GAT) to detect fraudulent bitcoin transactions. Also, we will compare their performances.
Photo by DeepMind on UnsplashTable of Contents
- Introduction
- Spectral-based Convolutional GNN
- Attention-based spatial Convolutional GNN
- Dataset
- Node classification with GCN/GAT using PyTorch Geometric (PyG)
- References
Introduction
Despite significant progress within deep learning areas such as computer vision, natural language/audio processing, time series forecasting, etc., the majority of problems work with non-euclidian geometric data …
crypto data science deep learning detection fraud fraud detection graph graph neural networks machine learning networks neural networks python transactions
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