A curated list of fraud detection papers using graph information or graph neural networks
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2019 | A Semi-supervised Graph Attentive Network for Fraud Detection | ICDM 2019 | Link | Link |
| 2019 | Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework | CIKM 2019 | Link | Link |
| 2019 | Spam Review Detection with Graph Convolutional Networks | CIKM 2019 | Link | Link |
| 2019 | Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics | KDD 2019 Workshop | Link | Link |
| 2019 | Uncovering Insurance Fraud Conspiracy with Network Learning | SIGIR 2019 | Link | Link |
| 2019 | FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System | The WebConference 2019 | Link | Link |
| 2019 | Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism | AAAI 2019 | Link | Link |
| 2018 | Heterogeneous Graph Neural Networks for Malicious Account Detection | CIKM 2018 | Link | Link |
| 2018 | GraphRAD: A Graph-based Risky Account Detection System | MLG 2018 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2020 | EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph | arXiv | Link | Link |
| 2020 | FlowScope: Spotting Money Laundering Based on Graphs | AAAI 2020 | Link | Link |
| 2019 | TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial | VLDB 2019 | Link | Link |
| 2019 | Spotting Collective Behaviour of Online Frauds in Customer Reviews | IJCAI 2019 | Link | Link |
| 2018 | Deep Structure Learning for Fraud Detection | ICDM 2018 | Link | Link |
| 2018 | Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach | WSDM 2018 | Link | Link |
| 2018 | REV2: Fraudulent User Prediction in Rating Platforms | WSDM 2018 | Link | Link |
| 2017 | HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks | ICDM 2017 | Link | Link |
| 2017 | GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graph | ICDM 2017 | Link | Link |
| 2017 | The Many Faces of Link Fraud | ICDM 2017 | Link | Link |
| 2017 | HoloScope: Topology-and-Spike Aware Fraud Detection | CIKM 2017 | Link | Link |
| 2016 | FRAUDAR: Bounding Graph Fraud in the Face of Camouflage | KDD 2016 | Link | Link |
| 2015 | Collective Opinion Spam Detection: Bridging Review Networks and Metadata | KDD 2015 | Link | Link |
Awesome Fraud Detection Research Papers
Outlier Detection DataSets (ODDS)
Graph Adversarial Learning Literature
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