A curated list of fraud detection papers using graph information or graph neural networks
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2020 | Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters | CIKM 2020 | Link | Link |
2020 | Loan Default Analysis with Multiplex Graph Learning | CIKM 2020 | Link | Link |
2020 | Error-Bounded Graph Anomaly Loss for GNNs | CIKM 2020 | Link | Link |
2020 | Early Fraud Detection with Augmented Graph Learning | DLG@KDD 2020 | Link | Link |
2020 | DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation | KDD 2020 | Link | Link |
2020 | Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection | SIGIR 2020 | Link | Link |
2020 | Rumor Detection on Social Media with Graph Structured Adversarial Learning | IJCAI 2020 | Link | Link |
2020 | GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection | SIGIR 2020 | Link | Link |
2020 | ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks | WWW 2020 Workshop | Link | Link |
2020 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks | AAAI 2020 | Link | Link |
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 | WWW 2019 Workshop | Link | Link |
2019 | GeniePath: Graph Neural Networks with Adaptive Receptive Paths | 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 | Robust Spammer Detection by Nash Reinforcement Learning | KDD 2020 | Link | Link |
2020 | Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation | ICWSM 2020 | Link | Link |
2020 | Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks | WWW 2020 | Link | Link |
2020 | Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network | WWW 2020 | Link | Link |
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 | SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs | DSAA 2019 | 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 |
2019 | Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism | AAAI 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 | ZooBP: Belief Propagation for Heterogeneous Networks | VLDB 2017 | 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 |
2014 | Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective | ICDM 2014 | Link | Link |
DGFraud: A Deep Graph-based Toolbox for Fraud Detection
UGFraud: An Unsupervised Graph-based Toolbox for Fraud Detection
Awesome Fraud Detection Research Papers
Outlier Detection DataSets (ODDS)
Graph Fraud Datasets from Prof. Srijan Kumar
Bitcoin Fraudulent Transaction Dataset
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