Awesome Graph/Transformer Fraud Detection

A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.

We have an interactive dashboard to view/filter/search the papers listed in this repo.

To facilitate deep research, we developed a local RAG-based LLM chatbot with 250 publicly accessible papers. Please refer to the project README on how to deploy this chatbot for personal use.

Table of Contents

• LLM and Transformer Papers
• Deep Learning Graph Papers: 2026 | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | Before 2020
• Non-Deep-Learning Graph Papers since 2014
• Toolbox
• Dataset
• Survey Paper
• Other Resource

LLM and Transformer Papers

Deep Learning Graph Papers

2026 [[Back to Top](#llm-and-transformer-papers)]

2025 [[Back to Top](#llm-and-transformer-papers)]

2024 [[Back to Top](#llm-and-transformer-papers)]

2023 [[Back to Top](#llm-and-transformer-papers)]

2022 [[Back to Top](#llm-and-transformer-papers)]

2021 [[Back to Top](#llm-and-transformer-papers)]

2020 [[Back to Top](#llm-and-transformer-papers)]

Before 2020 [[Back to Top](#llm-and-transformer-papers)]

Non-Deep-Learning Papers since 2014 [[Back to Top](#llm-and-transformer-papers)]

Toolbox [[Back to Top](#llm-and-transformer-papers)]

PyGOD: A Python Library for Graph Outlier Detection (Anomaly Detection)

DGFraud-TF2: A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.0

DGFraud: A Deep Graph-based Toolbox for Fraud Detection

UGFraud: An Unsupervised Graph-based Toolbox for Fraud Detection

GNN-based Fake News Detection

Realtime Fraud Detection with GNN on DGL

GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba

Dataset [[Back to Top](#llm-and-transformer-papers)]

Node Outlier Detection Benchmark

Twitter Fake News Propagation Graph Dataset

Yelp & Amazon Fraud Graph Dataset

TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs

FiGraph: A Dynamic Heterogeneous Graph Dataset for Financial Anomaly Detection

Fair Graph Anomaly Detection Benchmark

IBM Transactions for Anti Money Laundering (AML)

Financial Statement Fraud Dataset

Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection

UTwitter: Unlabeled Twitter dataset for rumor detection

Risk Commodities Detection on Large-Scale E-commerce Graphs

Fraudster Nodes in Dynamic Financial Social Network

Anomalous Accounts in Transaction and Social Networks

Ethereum Fraud Detection Dataset

Ethereum Phishing Transaction Network

IEEE-CIS Fraud Detection Dataset

Outlier Detection DataSets (ODDS)

Graph Fraud Datasets from Prof. Srijan Kumar

Bitcoin Fraudulent Transaction Dataset

Mobile App Install Fraud Dataset

Survey Paper [[Back to Top](#llm-and-transformer-papers)]

Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey

Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Graph-based Fake Account Detection: A Survey

Graph Neural Networks for Financial Fraud Detection: A Review

Deep Graph Anomaly Detection: A Survey and New Perspectives

Anomaly Detection in Dynamic Graphs: A Comprehensive Survey

Fake News Detection Through Graph-based Neural Networks: A Survey

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges

A Comprehensive Survey of Graph-based Deep Learning Approaches for Anomaly Detection in Complex Distributed Systems

Intelligent financial fraud detection practices in post-pandemic era

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Anomaly Mining - Past, Present and Future

Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook

Graph-based anomaly detection and description: a survey

Adversarial Attack and Defense on Graph Data: A Survey

Suspicious behavior detection: Current trends and future directions

False information on web and social media: A survey

Misinformation in Social Media: Definition, Manipulation, and Detection

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements

Other Resource [[Back to Top](#llm-and-transformer-papers)]

[Thesis] Robust Graph Learning for Misbehavior Detection

[Blog] Graph Neural Network-based Graph Outlier Detection: A Brief Introduction

[Slides] Leveraging GNNs for Financial Fraud Detection: Practices and Challenges

[Slides] Graph Learning in Financial Networks by Jiaxuan You

[Blog] 伊利诺伊大学窦英通：基于图神经网络的欺诈检测

[Blog] A Foundation Model for Consumption, Transactions, and Actions The Inception of BehaviorGPT

[Slides] Graph Neural Network-based Fraud Detection -- from Research to Application

[Video] Fraud Detection with Graph Neural Networks

[Video] Fake News Detection using Graphs with Pytorch Geometric

[Paper List] Graph Adversarial Learning Literature

[Paper List] Awesome Graph Anomaly Detection

[Paper List] Awesome Fraud Detection Research Papers

[Paper List] Awesome Anomaly Detection Foundation Models

[Tutorial] Graph-Based User Behavior Modeling: From Prediction to Fraud Detection