fraud-detection-gnn

Anomaly detection related books, papers, videos, and toolboxes

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

A Python Library for Graph Outlier Detection (Anomaly Detection)

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)