GNNApp-Papers

Risk-control (Anomaly Detection with Graph machine learning)

• Standard process of risking control with machine learning from Zhihu

• Fraud Detection using Graph based feature from TigherGraph

• Application of Graph Neural Network in Payment Risk Control from eBay

• Application of ML in fraud detection from eBay

• A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Preprint

• A Semi-supervised Graph Attentive Network for Financial Fraud Detection ICDM 2019

• Spam Review Detection with Graph Convolutional Networks CIKM 2019

• Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters CIKM 2020

• Graph-based Fraud Detection Papers and Resources from GitHub

• Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection WWW 2021 (Ali-ant)

Interpretability (GNN-based, machine learning based)

• Explainable Fraud Detection. This blog introduces various explanable methods based on machine learning to aplly them into fraud detection.

• Classifying and understanding financial data using graph neural network AAAI-kdf 2020

• xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs WWW2021(Under review)

• Explainability techniques for graph convolutional networks CoRR 2019

• SafeGraph including datasets A github source for fraud detection

• tools of GNN explanation (GitHub) A github source for fraud detection

• SubgraphX: an explanation model for GNN

Causal Inference (evaluate feature importance)

• Causal Inference for machine learning

Causal Inference on GNN

• Definition of ATE and CATE in Causal Inference

• EconML: A Python Package for ML-Based Heterogenerous Treatment Effects Estimation

• Causal Screening to Interpret Graph Neural Networks ICLR2021(reject)

• A graph neural network framework for causal inference in brain networks Scientific Reports 2021

• Cxplain: Causal explanations for model interpretation under uncertainty NeurIPS 2019

Dataset of Fraud (Anomaly) Detection

• https://www.kaggle.com/kartik2112/fraud-detection?select=fraudTrain.csv

• Graph fraud datasets

• Graph fraud datasets, fraud datasets with ML and related papers A github source for fraud detection

Feature Engineering

• feature selector for raw data (xgb, tree model, lightgbm)

Industry Solutions

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