# graph-fraud-detection-papers **Repository Path**: hq-cs/graph-fraud-detection-papers ## Basic Information - **Project Name**: graph-fraud-detection-papers - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 2 - **Created**: 2022-01-12 - **Last Updated**: 2022-01-12 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Graph-based Fraud Detection Papers and Resources [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) A curated list of fraud detection papers using graph information or graph neural networks **Table of Content** - GNN Papers: [2021](#2021) | [2020](#2020) | [Before 2020](#before-2020) - [Non-GNN Papers since 2014](#non-gnn-papers-since-2014) - [Toolbox](#toolbox) - [Dataset](#dataset) - [Other Resource](#other-resource) - [Survey Paper](#survey-paper) ## GNN Papers ### 2021 | Year | Title | Venue | Paper | Code | |-------|--------|--------|--------|-----------| | 2021 | **Deep Fraud Detection on Non-attributed Graph** | arXiv 2021 | [Link](https://arxiv.org/pdf/2110.01171.pdf) | Link | | 2021 | **Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism** | CIKM 2021 | Link | Link | | 2021 | **Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs** | CIKM 2021 | [Link](https://arxiv.org/pdf/2005.07427.pdf) | Link| | 2021 | **Action Sequence Augmentation for Early Graph-based Anomaly Detection** | CIKM 2021 | [Link](http://nshah.net/publications/ELAND.CIKM.21.pdf) | [Link](https://github.com/DM2-ND/Eland) | | 2021 | **Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning** | CIKM 2021 | [Link](http://www.public.asu.edu/~kding9/pdf/CIKM2021_RARE-GNN.pdf) | Link| | 2021 | **Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network** | arXiv 2021 | [Link](https://arxiv.org/pdf/2109.08022.pdf) | Link| | 2021 | **A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning** | IEEE TNNLS | [Link](https://ieeexplore.ieee.org/abstract/document/9525041) | [Link](https://github.com/zhao-tong/Graph-Anomaly-Loss) | | 2021 | **Cross-domain Graph Anomaly Detection** | IEEE TNNLS | [Link](http://www.public.asu.edu/~kding9/pdf/TNNLS_Commander.pdf) | [Link](https://github.com/zhao-tong/Graph-Anomaly-Loss) | | 2021 | **GCCAD: Graph Contrastive Coding for Anomaly Detection** | arXiv 2021 | [Link](https://arxiv.org/pdf/2108.07516.pdf) | [Link](https://github.com/allanchen95/GCCAD) | | 2021 | **Recurrent Graph Neural Networks for Rumor Detection in Online Forums** | KDD 2021 Workshop | [Link](https://arxiv.org/pdf/2108.03548.pdf) | Link | | 2021 | **Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection** | KDD 2021 | [Link](https://dl.acm.org/doi/pdf/10.1145/3447548.3467168) | Link | | 2021 | **Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection** | KDD 2021 | [Link](https://dl.acm.org/doi/pdf/10.1145/3447548.3467142) | Link | | 2021 | **Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach** | KDD 2021 | [Link](https://dl.acm.org/doi/pdf/10.1145/3447548.3467065) | Link | | 2021 | **Bipartite Dynamic Representations for Abuse Detection** | KDD 2021 | [Link](https://dl.acm.org/doi/pdf/10.1145/3447548.3467141) | [Link](https://github.com/qema/bidyn) | | 2021 | **Relational Graph Neural Networks for Fraud Detection in a Super-App environment** | KDD 2021 Workshop | [Link](https://arxiv.org/pdf/2106.09876.pdf) | Link | | 2021 | **Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge** | ACL 2021 | [Link](https://aclanthology.org/2021.acl-long.62.pdf) | [Link](https://github.com/BUPT-GAMMA/CompareNet_FakeNewsDetection) | | 2021 | **Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection** | ACL 2021 | [Link](https://aclanthology.org/2021.acl-long.297.pdf) | [Link](https://github.com/weilingwei96/EBGCN) | | 2021 | **Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning** | Information Processing & Management | [Link](https://www.sciencedirect.com/science/article/pii/S0306457321001643) | Link | | 2021 | **Decoupling Representation Learning and Classification for GNN-based Anomaly Detection** | SIGIR 2021 | [Link](https://dl.acm.org/doi/10.1145/3404835.3462944) | [Link](https://github.com/wyl7/DCI-pytorch) | | 2021 | **Improving fake news detection with domain-adversarial and graph-attention neural network** | Decision Support Systems | [Link](https://www.sciencedirect.com/science/article/pii/S0167923621001433) | Link | | 2021 | **Anomaly Detection in Dynamic Graphs via Transformer** | arXiv 2021 | [Link](https://arxiv.org/pdf/2106.09876.pdf) | Link | | 2021 | **HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features** | arXiv 2021 | [Link](https://arxiv.org/pdf/2105.11602.pdf) | Link | | 2021 | **Fraud Detection in Online Product Review Systems via Heterogeneous Graph Transformer** | IEEE Access | [Link](https://www.researchgate.net/publication/352008651_Fraud_Detection_in_Online_Product_Review_Systems_via_Heterogeneous_Graph_Transformer) | Link | | 2021 | **User Preference-aware Fake News Detection** | SIGIR 2021 | [Link](https://arxiv.org/pdf/2104.12259.pdf) | [Link](https://github.com/safe-graph/GNN-FakeNews) | | 2021 | **Temporal-Aware Graph Neural Network for Credit Risk Prediction** | SDM 2021 | [Link](https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.79) | Link | | 2021 | **Improving Cyberbullying Detection with User Interaction** | WWW 2021 | [Link](https://arxiv.org/pdf/2011.00449.pdf) | [Link](https://github.com/gesy17/TGBully) | | 2021 | **Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection** | WWW 2021 | [Link](https://ponderly.github.io/pub/PCGNN_WWW2021.pdf) | Link | | 2021 | **Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets** | WSDM 2021 | [Link](https://dl.acm.org/doi/pdf/10.1145/3437963.3441743) | Link | | 2021 | **DeepIS: Susceptibility Estimation on Social Networks** | WSDM 2021 | [Link](https://dl.acm.org/doi/pdf/10.1145/3437963.3441829) | [Link](https://github.com/xiawenwen49/DeepIS) | | 2021 | **Few-shot Network Anomaly Detection via Cross-network Meta-learning** | WWW 2021 | [Link](https://arxiv.org/pdf/2102.11165v1.pdf) | Link | | 2021 | **Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field** | AAAI 2021 | [Link](https://www.aaai.org/AAAI21Papers/AAAI-6859.XuB.pdf) | Link | ### 2020 | Year | Title | Venue | Paper | Code | |-------|--------|--------|--------|-----------| | 2020 | **Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks** | AAAI 2021 Workshop | [Link](https://arxiv.org/pdf/2012.10831.pdf) | Link | | 2020 | **APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding** | SIGMOD 2021 | [Link](https://arxiv.org/pdf/2011.11545.pdf) | Link | | 2020 | **Anomaly Detection on Dynamic Bipartite Graph with Burstiness** | ICDM 2020 | [Link](https://ieeexplore.ieee.org/document/9338258) | Link | | 2020 | **Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market** | ICDM 2020 | [Link](https://engineering.case.edu/groups/xusheng-xiao/sites/engineering.case.edu.groups.xusheng-xiao/files/docs/metagraph.pdf) | Link | | 2020 | **Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection** | ICDM 2020 | [Link](https://arxiv.org/pdf/2101.11206.pdf) | [Link](https://www.dropbox.com/sh/bmgz7d1q3tq5429/AAAAcmbgKOp-gtftVWhz533ua?dl=0) | | 2020 | **Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection** | ICDM 2020 | [Link](https://cs.nju.edu.cn/liyf/paper/icdm20-hmgnn.pdf) | [Link](https://github.com/iqiyi/HMGNN) | | 2020 | **xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs** | arXiv | [Link](https://arxiv.org/pdf/2011.12193.pdf) | Link | | 2020 | **BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising** | CIKM 2020 | [Link](https://dl.acm.org/doi/abs/10.1145/3340531.3412690) | [Link](https://github.com/mobvistaresearch/CIKM2020-BotSpot) | | 2020 | **Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment** | CIKM 2020 | [Link](https://ponderly.github.io/pub/ADAAR_CIKM2020.pdf) | Link | | 2020 | **Early Anomaly Detection by Learning and Forecasting Behavior** | arXiv | [Link](https://arxiv.org/pdf/2010.10016.pdf) | Link | | 2020 | **ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks** | arXiv | [Link](https://arxiv.org/pdf/2009.14738.pdf) | Link | | 2020 | **Multivariate Time-series Anomaly Detection via Graph Attention Network** | ICDM 2020 | [Link](https://arxiv.org/pdf/2009.02040.pdf) | Link | | 2020 | **GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising** | Security and Communication Networks | [Link](https://downloads.hindawi.com/journals/scn/2020/8810817.pdf) | Link | | 2020 | **Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters** | CIKM 2020 | [Link](https://arxiv.org/pdf/2008.08692.pdf) | [Link](https://github.com/YingtongDou/CARE-GNN) | | 2020 | **Graph-based Modeling of Online Communities for Fake News Detection** | arXiv | [Link](https://arxiv.org/pdf/2008.06274.pdf) | [Link](https://github.com/shaanchandra/SAFER) | | 2020 | **FANG: Leveraging Social Context for Fake News Detection Using Graph Representation** | CIKM 2020 | [Link](https://arxiv.org/pdf/2008.07939.pdf) | [Link](https://github.com/nguyenvanhoang7398/FANG) | | 2020 | **Loan Default Analysis with Multiplex Graph Learning** | CIKM 2020 | [Link](https://www.researchgate.net/publication/343626706_Loan_Default_Analysis_with_Multiplex_Graph_Learning) | Link | | 2020 | **Error-Bounded Graph Anomaly Loss for GNNs** | CIKM 2020 | [Link](http://www.meng-jiang.com/pubs/gal-cikm20/gal-cikm20-paper.pdf) | [Link](https://github.com/zhao-tong/Graph-Anomaly-Loss) | | 2020 | **GCNEXT: graph convolutional network with expanded balance theory for fraudulent user detection** | Social Network Analysis and Mining | [Link](https://link.springer.com/article/10.1007/s13278-020-00697-w) | Link | | 2020 | **FauxWard: a graph neural network approach to fauxtography detection using social media comments** | Social Network Analysis and Mining | [Link](https://link.springer.com/article/10.1007/s13278-020-00689-w) | Link | | 2020 | **A Scalable Framework for Group Fraud Detection in Transaction using Deep Graph Neural Network** | MLF@KDD 2020 | [Link](https://drive.google.com/file/d/14CPo4U9nmRClf_62NhVnhJVG5yhQXzEt/view) | Link| | 2020 | **Early Fraud Detection with Augmented Graph Learning** | DLG@KDD 2020 | [Link](http://www.meng-jiang.com/pubs/earlyfraud-dlg20/earlyfraud-dlg20-paper.pdf) | Link| | 2020 | **TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook** | KDD 2020 | [Link](https://arxiv.org/pdf/2002.07917.pdf) | Link| | 2020 | **DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation** | KDD 2020 | [Link](http://pike.psu.edu/publications/kdd20-deterrent.pdf) | [Link](https://github.com/cuilimeng/DETERRENT) | | 2020 | **Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection** | SIGIR 2020 | [Link](https://arxiv.org/pdf/2005.00625.pdf) | [Link](https://github.com/safe-graph/DGFraud-TF2/tree/main/algorithms/GraphConsis) | | 2020 | **GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media** | ACL 2020 | [Link](https://www.aclweb.org/anthology/2020.acl-main.48.pdf) | [Link](https://github.com/l852888/GCAN) | | 2020 | **Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning** | ACL 2020 | [Link](https://www.aclweb.org/anthology/2020.acl-main.279.pdf) | [Link](https://github.com/Giruvegan/generative-camouflaged-spam-detector) | | 2020 | **DFraud3-Multi-Component Fraud Detection free of Cold-start** | arXiv | [Link](https://arxiv.org/pdf/2006.05718.pdf) | Link | | 2020 | **Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining** | IJCAI 2020 | [Link](https://www.ijcai.org/Proceedings/2020/0643.pdf) | Link | | 2020 | **Rumor Detection on Social Media with Graph Structured Adversarial Learning** | IJCAI 2020 | [Link](https://www.ijcai.org/Proceedings/2020/0197.pdf) | Link | | 2020 | **GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection** | SIGIR 2020 | [Link](https://arxiv.org/pdf/2005.10150.pdf) | Link | | 2020 | **ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks** | WWW 2020 Workshop | [Link](https://dl.acm.org/doi/10.1145/3366424.3391266) | Link | | 2020 | **Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection** | AAAI 2020 | [Link](http://staff.ustc.edu.cn/~liandefu/paper/aaai2020_spammer.pdf) | Link | | 2020 | **Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks** | AAAI 2020 | [Link](https://arxiv.org/abs/2001.06362) | [Link](https://github.com/TianBian95/BiGCN) | ### Before 2020 | Year | Title | Venue | Paper | Code | |-------|--------|--------|--------|-----------| | 2019 | **A Semi-supervised Graph Attentive Network for Fraud Detection** | ICDM 2019 | [Link](https://ieeexplore.ieee.org/document/8970829) | [Link](https://github.com/safe-graph/DGFraud-TF2/tree/main/algorithms/SemiGNN) | | 2019 | **Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation** | EMNLP 2019 | [Link](https://www.aclweb.org/anthology/D19-1640.pdf) | [Link](https://github.com/Giruvegan/stoneskipping) | | 2019 | **Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework** | CIKM 2019 | [Link](http://mason.gmu.edu/~lzhao9/materials/papers/lp0110-zhangA.pdf) | [Link](https://github.com/safe-graph/DGFraud-TF2/tree/main/algorithms/Player2Vec) | | 2019 | **Spam Review Detection with Graph Convolutional Networks** | CIKM 2019 | [Link](https://arxiv.org/pdf/1908.10679.pdf) | [Link](https://github.com/safe-graph/DGFraud-TF2/tree/main/algorithms/GAS) | | 2019 | **Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics** | KDD 2019 Workshop| [Link](https://arxiv.org/pdf/1908.02591.pdf) | Link | | 2019 | **Uncovering Insurance Fraud Conspiracy with Network Learning** | SIGIR 2019 | [Link](https://dl.acm.org/citation.cfm?id=3331184.3331372) | Link | | 2019 | **Detect Me If You Can: Spam Bot Detection Using Inductive Representation Learning** | WWW 2019 Workshop| [Link](https://www.researchgate.net/publication/333067454_Detect_Me_If_You_Can_Spam_Bot_Detection_Using_Inductive_Representation_Learning) | Link | | 2019 | **FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System** | WWW 2019 Workshop| [Link](https://dl.acm.org/citation.cfm?id=3316586) | [Link](https://github.com/safe-graph/DGFraud) | | 2019 | **GeniePath: Graph Neural Networks with Adaptive Receptive Paths** | AAAI 2019 | [Link](https://arxiv.org/pdf/1802.00910.pdf) | [Link](https://github.com/safe-graph/DGFraud) | | 2018 | **Heterogeneous Graph Neural Networks for Malicious Account Detection** | CIKM 2018 | [Link](https://arxiv.org/pdf/2002.12307.pdf) | [Link](https://github.com/safe-graph/DGFraud-TF2/tree/main/algorithms/GEM) | | 2018 | **GraphRAD: A Graph-based Risky Account Detection System** | MLG 2018 | [Link](https://www.mlgworkshop.org/2018/papers/MLG2018_paper_12.pdf) | Link | ## Non-GNN Papers since 2014 | Year | Title | Venue | Paper | Code | |-------|--------|--------|--------|-----------| | 2021 | **Customs Fraud Detection in the Presence of Concept Drift** | ICDMW 2021 | [Link](https://arxiv.org/pdf/2109.14155.pdf) | Link | | 2021 | **Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection** | CIKM 2021 | Link | Link | | 2021 | **Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach** | KDD 2021 | [Link](https://dl.acm.org/doi/pdf/10.1145/3447548.3467094) | Link | | 2021 | **GuiltyWalker: Distance to illicit nodes in the Bitcoin network** | KDD 2021 Workshop | [Link](https://arxiv.org/pdf/2102.05373.pdf) | Link | | 2021 | **Deep Entity Classification: Abusive Account Detection for Online Social Networks** | USENIX Security 2021 | [Link](https://www.usenix.org/system/files/sec21summer_xu.pdf) | Link | | 2021 | **EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph** | ICDE 2021 | [Link](https://arxiv.org/pdf/1912.11113.pdf) | Link | | 2021 | **Network Inference from a Mixture of Diffusion Models for Fake News Mitigation** | ICWSM 2021 | [Link](https://arxiv.org/pdf/2008.03450.pdf) | Link | | 2021 | **Uncovering Coordinated Networks on Social Media** | ICWSM 2021 | [Link](https://arxiv.org/pdf/2001.05658.pdf) | Link | | 2021 | **F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams** | WSDM 2021 | [Link](https://arxiv.org/pdf/2011.04723.pdf) | [Link](https://github.com/snap-stanford/F-FADE) | | 2020 | **AUTOAUDIT: Mining Accounting and Time-Evolving Graphs** | IEEE BigData 2020 | [Link](https://arxiv.org/pdf/2011.00447.pdf) | [Link](https://github.com/mengchillee/AutoAudit) | | 2020 | **Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning** | arXiv 2020 | [Link](https://arxiv.org/pdf/2010.14282.pdf) | [Link](https://github.com/Seondong/Customs-Fraud-Detection) | | 2020 | **SpecGreedy: Unified Dense Subgraph Detection** | ECML-PKDD 2020 | [Link](https://shenghua-liu.github.io/papers/pkdd2020_specgreedy.pdf) | [Link](https://github.com/wenchieh/specgreedy) | | 2020 | **Real-Time Streaming Anomaly Detection in Dynamic Graphs** | arXiv | [Link](https://arxiv.org/pdf/2009.08452.pdf) | [Link](https://github.com/Stream-AD/MIDAS) | | 2020 | **Robust Spammer Detection by Nash Reinforcement Learning** | KDD 2020 | [Link](https://arxiv.org/pdf/2006.06069.pdf) | [Link](https://github.com/YingtongDou/Nash-Detect) | | 2020 | **DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection** | KDD 2020 | [Link](https://dl.acm.org/doi/pdf/10.1145/3394486.3403339) | [Link](https://github.com/Roytsai27/Dual-Attentive-Tree-aware-Embedding) | | 2020 | **KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection** | TrueFact@KDD 2020 | [Link](https://drive.google.com/file/d/1BBNtSQeayy7ozonQbsbXmMdtEKDF4DLi/view) | Link | | 2020 | **Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services** | IEEE TDSC 2020 | [Link](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9085905) | Link | | 2020 | **Collaboration Based Multi-Label Propagation for Fraud Detection** | IJCAI 2020 | [Link](https://www.ijcai.org/Proceedings/2020/0343.pdf) | Link | | 2020 | **Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation** | ICWSM 2020 | [Link](http://www.public.asu.edu/~skai2/files/icwsm_20.pdf) | [Link](https://www.dropbox.com/sh/v1nmsdabk4wumcn/AADiRakrTIxx546qaOMNHPTWa?dl=0) | | 2020 | **Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks** | WWW 2020 | [Link](https://arxiv.org/pdf/2004.04834.pdf) | Link | | 2020 | **Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network** | WWW 2020 | [Link](https://dl.acm.org/doi/abs/10.1145/3366423.3380159) | Link | | 2020 | **MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams** | AAAI 2020 | [Link](https://arxiv.org/pdf/1911.04464.pdf) | [Link](https://github.com/Stream-AD/MIDAS) | | 2020 | **FlowScope: Spotting Money Laundering Based on Graphs** | AAAI 2020 | [Link](http://shichuan.org/doc/78.pdf) | [Link](https://github.com/aplaceof/FlowScope) | | 2019 | **A Dynamic Default Prediction Framework for Networked-guarantee Loans** | CIKM 2019 | [Link](https://dl.acm.org/doi/10.1145/3357384.3357804) | Link | | 2019 | **SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs** | DSAA 2019 | [Link](https://arxiv.org/pdf/1908.07087.pdf) | [Link](https://github.com/hamedn/SliceNDice) | | 2019 | **From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms** | VLDB 2019 | [Link](http://www.vldb.org/pvldb/vol12/p1016-nguyen.pdf) | Link | | 2019 | **TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial** | VLDB 2019 | [Link](https://arxiv.org/pdf/1906.07407.pdf) | Link | | 2019 | **Spotting Collective Behaviour of Online Frauds in Customer Reviews** | IJCAI 2019 | [Link](https://www.ijcai.org/proceedings/2019/0035.pdf) | [Link](https://github.com/LCS2-IIITD/DeFrauder) | | 2019 | **Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism** | AAAI 2019 | [Link](https://aaai.org/ojs/index.php/AAAI/article/view/3884) | [Link](https://github.com/safe-graph/DGFraud) | | 2018 | **Deep Structure Learning for Fraud Detection** | ICDM 2018 | [Link](https://www.researchgate.net/publication/330030140_Deep_Structure_Learning_for_Fraud_Detection) | [Link](https://github.com/zhao-tong/DeepFD-pyTorch) | | 2018 | **FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features** | AiSec 2018 | [Link](https://surrealyz.github.io/files/pubs/featnet-aisec2018.pdf) | Link | | 2018 | **HGsuspector: Scalable Collective Fraud Detection in Heterogeneous Graphs** | KDD 2018 Workshop | [Link](https://www.mlgworkshop.org/2018/papers/MLG2018_paper_16.pdf) | Link | | 2018 | **Online E-Commerce Fraud: A Large-scale Detection and Analysis** | ICDE 2018 | [Link](https://nesa.zju.edu.cn/download/Online%20E-Commerce%20Fraud%20A%20Large-scale%20Detection%20and%20Analysis.pdf) | [Link](https://github.com/maianhpuco/alibabaFraud) | | 2018 | **FraudNE: a Joint Embedding Approach for Fraud Detection** | IJCNN 2018 | [Link](https://opus.cloud.lib.uts.edu.au/bitstream/10453/133230/4/08489585.pdf) | Link | | 2018 | **Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach** | WSDM 2018 | [Link](http://faculty.cse.tamu.edu/caverlee/pubs/parisa18wsdm.pdf) | Link | | 2018 | **REV2: Fraudulent User Prediction in Rating Platforms** | WSDM 2018 | [Link](https://cs.stanford.edu/~srijan/pubs/rev2-wsdm18.pdf) | [Link](https://cs.stanford.edu/~srijan/rev2/) | | 2017 | **ZooBP: Belief Propagation for Heterogeneous Networks** | VLDB 2017 | [Link](http://www.vldb.org/pvldb/vol10/p625-eswaran.pdf) | [Link](https://github.com/safe-graph/UGFraud) | | 2017 | **HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks** | ICDM 2017 | [Link](https://arxiv.org/pdf/1709.04129.pdf) | Link | | 2017 | **GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graph** | ICDM 2017 | [Link](https://ieeexplore.ieee.org/document/8215519) | [Link](https://github.com/safe-graph/UGFraud) | | 2017 | **The Many Faces of Link Fraud** | ICDM 2017 | [Link](https://arxiv.org/pdf/1704.01420.pdf) | Link | | 2017 | **HoloScope: Topology-and-Spike Aware Fraud Detection** | CIKM 2017 | [Link](https://arxiv.org/pdf/1705.02505.pdf) | [Link](https://github.com/shenghua-liu/HoloScope) | | 2017 | **iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection** | Mobile Information Systems 2017 | [Link](https://downloads.hindawi.com/journals/misy/2017/6412521.pdf) | Link | | 2017 | **Adaptive Spammer Detection with Sparse Group Modeling** | ICWSM 2017 | [Link](http://www.liangwu.me/files/papers/ICWSM17_Liang%20Wu_Adaptive%20Spammer%20Detection.pdf) | Link | | 2017 | **NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media** | IEEE TIFS | [Link](https://www.researchgate.net/publication/314160993_NetSpam_A_Network-Based_Spam_Detection_Framework_for_Reviews_in_Online_Social_Media) | Link | | 2016 | **FRAUDAR: Bounding Graph Fraud in the Face of Camouflage** | KDD 2016 | [Link](https://bhooi.github.io/papers/fraudar_kdd16.pdf) | [Link](https://github.com/safe-graph/UGFraud) | | 2015 | **AFRAID: Fraud detection via active inference in time-evolving social networks** | ASONAM 2015 | [Link](http://www.andrew.cmu.edu/user/lakoglu/pubs/15-ASONAM-ActiveInferenceforFraud.pdf) | Link | | 2015 | **Collective Opinion Spam Detection: Bridging Review Networks and Metadata** | KDD 2015 | [Link](https://www.andrew.cmu.edu/user/lakoglu/pubs/15-kdd-collectiveopinionspam.pdf) | [Link](https://github.com/safe-graph/UGFraud) | | 2014 | **Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective** | ICDM 2014 | [Link](https://arxiv.org/pdf/1410.3915.pdf) | [Link](https://github.com/safe-graph/UGFraud) | ## Toolbox [DGFraud-TF2: A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.0](https://github.com/safe-graph/DGFraud-TF2) [DGFraud: A Deep Graph-based Toolbox for Fraud Detection](https://github.com/safe-graph/DGFraud) [UGFraud: An Unsupervised Graph-based Toolbox for Fraud Detection](https://github.com/safe-graph/UGFraud) [GNN-based Fake News Detection](https://github.com/safe-graph/GNN-FakeNews) [Realtime Fraud Detection with GNN on DGL](https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl) ## Dataset [Twitter Fake News Propagation Graph Dataset](https://github.com/safe-graph/GNN-FakeNews) [Yelp & Amazon Fraud Graph Dataset](https://github.com/dmlc/dgl/blob/master/python/dgl/data/fraud.py) [IEEE-CIS Fraud Detection Dataset](https://www.kaggle.com/c/ieee-fraud-detection) [Outlier Detection DataSets (ODDS)](http://odds.cs.stonybrook.edu/) [Graph Fraud Datasets from Prof. Srijan Kumar](https://cs.stanford.edu/~srijan/) [Bitcoin Fraudulent Transaction Dataset](https://www.kaggle.com/ellipticco/elliptic-data-set) [Mobile App Install Fraud Dataset](https://github.com/mobvistaresearch/CIKM2020-BotSpot) ## Other Resource [Graph Neural Network-based Fraud Detection -- from Research to Application](https://ytongdou.com/files/GNN_Fraud_Talk.pdf) [Graph Adversarial Learning Literature](https://github.com/safe-graph/graph-adversarial-learning-literature) [Awesome Fraud Detection Research Papers](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers) ## Survey Paper [A Comprehensive Survey on Graph Anomaly Detection with Deep Learning](https://arxiv.org/pdf/2106.07178.pdf) [Anomaly Mining - Past, Present and Future](https://arxiv.org/pdf/2105.10077.pdf) [Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook](https://arxiv.org/pdf/2103.03227.pdf) [Graph based anomaly detection and description: a survey](https://link.springer.com/article/10.1007/s10618-014-0365-y) [Adversarial Attack and Defense on Graph Data: A Survey](https://arxiv.org/abs/1812.10528) [Suspicious behavior detection: Current trends and future directions](https://ieeexplore.ieee.org/abstract/document/7389913) [False information on web and social media: A survey](https://arxiv.org/abs/1804.08559) [Misinformation in Social Media: Definition, Manipulation, and Detection](https://dl.acm.org/citation.cfm?id=3373475) [Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements](https://arxiv.org/abs/2001.00623)