A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Table of Content
- GNN Papers: 2024 | 2023 | 2022 | 2021 | 2020 | Before 2020
- Non-GNN Papers since 2014
- Toolbox
- Dataset
- Survey Paper
- Other Resource
2024 [Back to Top]
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2024 | Connecting the Dots: Graph Neural Networks for Auditing Accounting Journal Entries | SSRN 2024 | Link | Link |
| 2024 | Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation | IEEE TNNLS 2024 | Link | Link |
| 2024 | Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters | TheWebConf 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Bi-level Optimization | TheWebConf 2024 | Link | Link |
| 2024 | Heterogeneous Subgraph Transformer for Fake News Detection | TheWebConf 2024 | Link | Link |
| 2024 | Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training | LREC-COLING 2024 | Link | Link |
| 2024 | Multi-task Contrastive Learning for Anomaly Detection on Attributed Networks | PAKDD 2024 | Link | Link |
| 2024 | TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media | PAKDD 2024 | Link | Link |
| 2024 | Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Revisiting Attack-caused Structural Distribution Shift in Graph Anomaly Detection | IEEE TKDE 2024 | Link | Link |
| 2024 | F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection | ICASSP 2024 | Link | Link |
| 2024 | RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection | arXiv 2024 | Link | Link |
| 2024 | CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks | arXiv 2024 | Link | Link |
| 2024 | Generative Semi-supervised Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Multitask Active Learning for Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Provably Powerful Graph Neural Networks for Directed Multigraphs | AAAI 2024 | Link | Link |
| 2024 | Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection | AAAI 2024 | Link | Link |
| 2024 | Barely Supervised Learning for Graph-Based Fraud Detection | AAAI 2024 | Link | Link |
| 2024 | ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection | AAAI 2024 | Link | Link |
| 2024 | Pre-trained Online Contrastive Learning for Insurance Fraud Detection | AAAI 2024 | Link | Link |
| 2024 | Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning | ACM TKDD 2024 | Link | Link |
| 2024 | Partitioning Message Passing for Graph Fraud Detection | ICLR 2024 | Link | Link |
| 2024 | Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision | ICLR 2024 | Link | Link |
| 2024 | Boosting Graph Anomaly Detection with Adaptive Message Passing | ICLR 2024 | Link | Link |
| 2024 | Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection | ICLR 2024 | Link | Link |
| 2024 | PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization | WSDM 2024 | Link | Link |
| 2024 | SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks | arXiv 2024 | Link | Link |
2023 [Back to Top]
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2023 | Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks | LoG 2023 | Link | Link |
| 2023 | Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models | arXiv 2023 | Link | Link |
| 2023 | GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction | WSDM 2024 | Link | Link |
| 2023 | DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection | AAAI 2024 | Link | Link |
| 2023 | DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph | AAAI 2024 | Link | Link |
| 2023 | GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking | AAAI 2024 | Link | Link |
| 2023 | Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum | AAAI 2024 | Link | Link |
| 2023 | GADY: Unsupervised Anomaly Detection on Dynamic Graphs | AAAI 2024 | Link | Link |
| 2023 | Realistic Synthetic Financial Transactions for Anti-Money Laundering Models | NeurIPS 2023 | Link | Link |
| 2023 | GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | GAD-EBM: Graph Anomaly Detection using Energy-Based Models | NeurIPS 2023 (GLFrontiers Workshop) | Link | Link |
| 2023 | Towards Self-Interpretable Graph-Level Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection | ICDM 2023 Workshops | Link | Link |
| 2023 | Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection | ICDM 2023 | Link | Link |
| 2023 | RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks | Knowledge-Based Systems 2023 | Link | Link |
| 2023 | Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection | arXiv 2023 | Link | Link |
| 2023 | GoSage: Heterogeneous Graph Neural Network Using Hierarchical Attention for Collusion Fraud Detection | ACM ICAIF 2023 | Link | Link |
| 2023 | ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach | IEEE Bigdata 2023 | Link | Link |
| 2023 | SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily | CIKM 2023 | Link | Link |
| 2023 | THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks | CIKM 2023 | Link | Link |
| 2023 | Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks | CIKM 2023 | Link | Link |
| 2023 | Class Label-aware Graph Anomaly Detection | CIKM 2023 | Link | Link |
| 2023 | Generative Graph Augmentation for Minority Class in Fraud Detection | CIKM 2023 | Link | Link |
| 2023 | GraphFC: Customs Fraud Detection with Label Scarcity | CIKM 2023 | Link | Link |
| 2023 | Learning Node Abnormality with Weak Supervision | CIKM 2023 | Link | Link |
| 2023 | Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection | ACM MM 2023 | Link | Link |
| 2023 | Multi-modal Social Bot Detection: Learning Homophilic and Heterophilic Connections Adaptively | ACM MM 2023 | Link | Link |
| 2023 | Open-Set Graph Anomaly Detection via Normal Structure Regularisation | arXiv 2023 | Link | Link |
| 2023 | Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection | arXiv 2023 | Link | Link |
| 2023 | ASA-GNN: Adaptive Sampling and Aggregation-Based Graph Neural Network for Transaction Fraud Detection | IEEE TCSS 2023 | Link | Link |
| 2023 | Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks | ACM TWEB 2023 | Link | Link |
| 2023 | GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection | IEEE ICKG 2023 | Link | Link |
| 2023 | FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection | IEEE DSAA 2023 | Link | Link |
| 2023 | Enabling Graph Neural Networks for Semi-Supervised Risk Prediction in Online Credit Loan Services | ACM TIST 2023 | Link | Link |
| 2023 | Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks | arXiv 2023 | Link | Link |
| 2023 | HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks | IEEE DSAA 2023 | Link | Link |
| 2023 | SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs | IJCAI 2023 | Link | Link |
| 2023 | Robust Graph Anomaly Detection via Neural Sparsification | IJCAI 2023 | Link | Link |
| 2023 | Don’t Ignore Alienation and Marginalization: Correlating Fraud Detection | IJCAI 2023 | Link | Link |
| 2023 | Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network | IJCAI 2023 | Link | Link |
| 2023 | Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network | IJCAI 2023 | Link | Link |
| 2023 | Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering | KDD 2023 | Link | Link |
| 2023 | DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection | KDD 2023 | Link | Link |
| 2023 | Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping | KDD 2023 | Link | Link |
| 2023 | Towards Reliable Rare Category Analysis on Graphs via Individual Calibration | KDD 2023 | Link | Link |
| 2023 | Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency | KDD 2023 | Link | Link |
| 2023 | Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection | KDD 2023 | Link | Link |
| 2023 | Group-based Fraud Detection Network on e-Commerce Platforms | KDD 2023 | Link | Link |
| 2023 | MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification | KDD 2023 | Link | Link |
| 2023 | Dynamic graph neural network-based fraud detectors against collaborative fraudsters | Knowledge-Based Systems 2023 | Link | Link |
| 2023 | Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph | arXiv 2023 | Link | Link |
| 2023 | Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach | arXiv 2023 | Link | Link |
| 2023 | Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer | arXiv 2023 | Link | Link |
| 2023 | Transaction Fraud Detection via an Adaptive Graph Neural Network | arXiv 2023 | Link | Link |
| 2023 | Heuristic Heterogeneous Graph Reasoning Networks for Fact Verification | IEEE TNNLS 2023 | Link | Link |
| 2023 | Anomaly Detection in Networks via Score-Based Generative Models | ICML 2023 Workshops | Link | Link |
| 2023 | Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs | IJCNN 2023 | Link | Link |
| 2023 | ConsE: Consistency Exploitation for Semi-Supervised Anomaly Detection in Graphs | IJCNN 2023 | Link | Link |
| 2023 | Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network | PAKDD 2023 | Link | Link |
| 2023 | MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection | arXiv 2023 | Link | Link |
| 2023 | Graph Contrastive Learning With Feature Augmentation for Rumor Detection | IEEE TCSS 2023 | Link | Link |
| 2023 | Fraud detection on multi-relation graphs via imbalanced and interactive learning | Information Sciences | Link | Link |
| 2023 | Anti-Money Laundering by Group-Aware Deep Graph Learning | IEEE TKDE | Link | Link |
| 2023 | Subgraph Centralization: A Necessary Step for Graph Anomaly Detection | SDM 2023 | Link | Link |
| 2023 | Abnormal Event Detection via Hypergraph Contrastive Learning | SDM 2023 | Link | Link |
| 2023 | Semi-Supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation | AAAI 2023 | Link | link |
| 2023 | TUAF: Triple-Unit-Based Graph-Level Anomaly Detection with Adaptive Fusion Readout | DASFAA 2023 | Link | Link |
| 2023 | DualFraud: Dual-Target Fraud Detection and Explanation in Supply Chain Finance Across Heterogeneous Graphs | DASFAA 2023 | Link | Link |
| 2023 | GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection | arXiv 2023 | Link | Link |
| 2023 | Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection | arXiv 2023 | Link | Link |
| 2023 | DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk | arXiv 2023 | Link | Link |
| 2023 | Towards Improved Illicit Node Detection with Positive-Unlabelled Learning | IEEE ICBC 2023 | Link | Link |
| 2023 | Counterfactual Graph Learning for Anomaly Detection on Attributed Networks | IEEE TKDE | Link | Link |
| 2023 | Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering | arXiv 2023 | Link | Link |
| 2023 | Energy-based Out-of-Distribution Detection for Graph Neural Networks | ICLR 2023 | Link | Link |
| 2023 | A Differential Geometric View and Explainability of GNN on Evolving Graphs | ICLR 2023 | Link | Link |
| 2023 | Attacking Fake News Detectors via Manipulating News Social Engagement | TheWebConf 2023 | Link | Link |
| 2023 | Label Information Enhanced Fraud Detection against Low Homophily in Graphs | TheWebConf 2023 | Link | Link |
| 2023 | Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum | TheWebConf 2023 | Link | Link |
| 2023 | LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection | IEEE TBD | Link | Link |
| 2023 | Multi-view co-attention network for fake news detection by modeling topic-specific user and news source credibility | Information Processing & Management | Link | Link |
| 2023 | Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms | arXiv 2023 | Link | Link |
| 2023 | Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency | arXiv 2023 | Link | Link |
| 2023 | RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation | arXiv 2023 | Link | Link |
2022 [Back to Top]
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2022 | Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks | WSDM 2023 | Link | Link |
| 2022 | Alleviating Structural Distribution Shift in Graph Anomaly Detection | WSDM 2023 | Link | Link |
| 2022 | Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment | AAAI 2023 | Link | Link |
| 2022 | Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network | AAAI 2023 | Link | Link |
| 2022 | Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks | IEEE BigData 2022 | Link | Link |
| 2022 | Demystifying Bitcoin Address Behavior via Graph Neural Networks | ICDE 2023 | Link | Link |
| 2022 | Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction | NeurIPS 2022 Workshops | Link | Link |
| 2022 | EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain | ADMA 2022 | Link | Link |
| 2022 | Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection | NeurIPS 2022 | Link | Link |
| 2022 | Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method | ICDE 2023 | Link | Link |
| 2022 | SybilFlyover: Heterogeneous graph-based fake account detection model on social networks | Knowledge-Based Systems | Link | Link |
| 2022 | Guided Self-Training based Semi-Supervised Learning for Fraud Detection | ACM ICAIF 2022 | Link | Link |
| 2022 | LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering | ACM ICAIF 2022 | Link | Link |
| 2022 | The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection | ICDM 2022 | Link | Link |
| 2022 | GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media | ICDM 2022 | Link | Link |
| 2022 | DAGAD: Data Augmentation for Graph Anomaly Detection | ICDM 2022 | Link | Link |
| 2022 | Graph Anomaly Detection with Unsupervised GNNs | ICDM 2022 | Link | Link |
| 2022 | A Unified Propagation Forest-based Framework for Fake News Detection | COLING 2022 | Link | Link |
| 2022 | Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks | arXiv 2022 | Link | Link |
| 2022 | BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs | NeurIPS 2022 | Link | Link |
| 2022 | DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection | NeurIPS 2022 | Link | Link |
| 2022 | Dual-Augment Graph Neural Network for Fraud Detection | CIKM 2022 | Link | Link |
| 2022 | Explainable Graph-based Fraud Detection via Neural Meta-graph Search | CIKM 2022 | Link | Link |
| 2022 | Domain-Aware Federated Social Bot Detection with Multi-Relational Graph Neural Networks | IJCNN 2022 | Link | Link |
| 2022 | GCCAD: Graph Contrastive Coding for Anomaly Detection | IEEE TKDE 2022 | Link | Link |
| 2022 | Graph Neural Network for Fraud Detection via Spatial-Temporal Attention | IEEE TKDE 2022 | Link | Link |
| 2022 | Reinforcement Subgraph Reasoning for Fake News Detection | KDD 2022 | Link | Link |
| 2022 | ROLAND: Graph Learning Framework for Dynamic Graphs | KDD 2022 | Link | Link |
| 2022 | Hierarchical Multi-Modal Fusion on Dynamic Heterogeneous Graph for Health Insurance Fraud Detection | IEEE ICME 2022 | Link | Link |
| 2022 | Graph-Aware Deep Fusion Networks for Online Spam Review Detection | IEEE TCSS 2022 | Link | Link |
| 2022 | Modeling User Behavior With Interaction Networks for Spam Detection | SIGIR 2022 | Link | Link |
| 2022 | Table2Graph: Transforming Tabular Data to Unified Weighted Graph | IJCAI 2022 | Link | Link |
| 2022 | RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search | arXiv 2022 | Link | Link |
| 2022 | Rethinking Graph Neural Networks for Anomaly Detection | ICML 2022 | Link | Link |
| 2022 | Can Abnormality be Detected by Graph Neural Networks? | IJCAI 2022 | Link | Link |
| 2022 | Modelling graph dynamics in fraud detection with "Attention" | Preprint | Link | Link |
| 2022 | ALLIE: Active Learning on Large-scale Imbalanced Graphs | WWW 2022 | Link | Link |
| 2022 | H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections | WWW 2022 | Link | Link |
| 2022 | Prohibited Item Detection via Risk Graph Structure Learning | WWW 2022 | Link | Link |
| 2022 | TTAGN: Temporal Transaction Aggregation Graph Network For Ethereum Phishing Scams Detection | WWW 2022 | Link | Link |
| 2022 | AUC-oriented Graph Neural Network for Fraud Detection | WWW 2022 | Link | Link |
| 2022 | Bi-Level Selection via Meta Gradient for Graph-based Fraud Detection | DASFAA 2022 | Link | Link |
| 2022 | Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks | IEEE TNNLS 2022 | Link | Link |
| 2022 | Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection | arXiv 2022 | Link | Link |
| 2022 | BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising | ACM TOIS 2022 | Link | Link |
| 2022 | Inductive Graph Representation Learning for fraud detection | Expert Systems with Applications 2022 | Link | Link |
| 2022 | Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network | arXiv 2022 | Link | Link |
| 2022 | Markov-Driven Graph Convolutional Networks for Social Spammer Detection | IEEE TKDE 2022 | Link | Link |
| 2022 | Deep Graph Learning for Anomalous Citation Detection | IEEE TNNLS 2022 | Link | Link |
| 2022 | Towards Fine-Grained Reasoning for Fake News Detection | AAAI 2022 | Link | Link |
2021 [Back to Top]
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2021 | eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks | ACM TOIS 2021 | Link | Link |
| 2021 | MAFI: GNN-based Multiple Aggregators and Feature Interactions Network for Fraud Detection over Heterogeneous Graph | IEEE TBD 2021 | Link | Link |
| 2021 | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance | ICDM 2021 | Link | Link |
| 2021 | Fake Reviewer Group Detection in Online Review Systems | ICDM 2021 Workshop | Link | Link |
| 2021 | Temporal Graph Representation Learning for Detecting Anomalies in E-payment Systems | ICDM 2021 Workshop | Link | Link |
| 2021 | Know-GNN: An Explainable Knowledge-Guided Graph Neural Network for Fraud Detection | ICONIP 2021 | Link | Link |
| 2021 | TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors | arXiv 2021 | Link | Link |
| 2021 | Knowledge-Guided Fraud Detection Using Semi-supervised Graph Neural Network | WISE 2021 | Link | Link |
| 2021 | Deep Fraud Detection on Non-attributed Graph | IEEE BigData 2021 | Link | Link |
| 2021 | Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media | NeurIPS 2021 | Link | Link |
| 2021 | ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning | CIKM 2021 | Link | Link |
| 2021 | Prohibited Item Detection on Heterogeneous Risk Graphs | CIKM 2021 | Link | 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 | Link |
| 2021 | Action Sequence Augmentation for Early Graph-based Anomaly Detection | CIKM 2021 | Link | Link |
| 2021 | Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning | CIKM 2021 | Link | Link |
| 2021 | Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network | arXiv 2021 | Link | Link |
| 2021 | A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning | IEEE TNNLS 2021 | Link | Link |
| 2021 | Cross-domain Graph Anomaly Detection | IEEE TNNLS 2021 | Link | Link |
| 2021 | Recurrent Graph Neural Networks for Rumor Detection in Online Forums | KDD 2021 Workshop | Link | Link |
| 2021 | Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection | KDD 2021 | Link | Link |
| 2021 | Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection | KDD 2021 | Link | Link |
| 2021 | Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach | KDD 2021 | Link | Link |
| 2021 | Bipartite Dynamic Representations for Abuse Detection | KDD 2021 | Link | Link |
| 2021 | Relational Graph Neural Networks for Fraud Detection in a Super-App environment | KDD 2021 Workshop | Link | Link |
| 2021 | Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge | ACL 2021 | Link | Link |
| 2021 | Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection | ACL 2021 | Link | Link |
| 2021 | Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning | Information Processing & Management 2021 | Link | Link |
| 2021 | Decoupling Representation Learning and Classification for GNN-based Anomaly Detection | SIGIR 2021 | Link | Link |
| 2021 | Improving fake news detection with domain-adversarial and graph-attention neural network | Decision Support Systems | Link | Link |
| 2021 | Anomaly Detection in Dynamic Graphs via Transformer | arXiv 2021 | Link | Link |
| 2021 | HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features | arXiv 2021 | Link | Link |
| 2021 | Fraud Detection in Online Product Review Systems via Heterogeneous Graph Transformer | IEEE Access | Link | Link |
| 2021 | User Preference-aware Fake News Detection | SIGIR 2021 | Link | Link |
| 2021 | Temporal-Aware Graph Neural Network for Credit Risk Prediction | SDM 2021 | Link | Link |
| 2021 | IFSpard: An Information Fusion-based Framework for Spam Review Detection | WWW 2021 | Link | Link |
| 2021 | Improving Cyberbullying Detection with User Interaction | WWW 2021 | Link | Link |
| 2021 | Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection | WWW 2021 | Link | Link |
| 2021 | Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets | WSDM 2021 | Link | Link |
| 2021 | DeepIS: Susceptibility Estimation on Social Networks | WSDM 2021 | Link | Link |
| 2021 | Few-shot Network Anomaly Detection via Cross-network Meta-learning | WWW 2021 | Link | Link |
| 2021 | Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field | AAAI 2021 | Link | Link |
2020 [Back to Top]
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2020 | Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning | IEEE TNNLS 2020 | link | link |
| 2020 | Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks | AAAI 2021 Workshop | Link | Link |
| 2020 | Phishing Scams Detection in Ethereum Transaction Network | ACM TOIT 2020 | Link | Link |
| 2020 | APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding | SIGMOD 2021 | Link | Link |
| 2020 | Anomaly Detection on Dynamic Bipartite Graph with Burstiness | ICDM 2020 | Link | Link |
| 2020 | Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market | ICDM 2020 | Link | Link |
| 2020 | Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection | ICDM 2020 | Link | Link |
| 2020 | Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection | ICDM 2020 | Link | Link |
| 2020 | xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs | arXiv 2021 | Link | Link |
| 2020 | BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising | CIKM 2020 | Link | Link |
| 2020 | Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment | CIKM 2020 | Link | Link |
| 2020 | Early Anomaly Detection by Learning and Forecasting Behavior | arXiv | Link | Link |
| 2020 | ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks | arXiv 2021 | Link | Link |
| 2020 | Multivariate Time-series Anomaly Detection via Graph Attention Network | ICDM 2020 | Link | Link |
| 2020 | GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising | Security and Communication Networks 2020 | Link | Link |
| 2020 | Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters | CIKM 2020 | Link | Link |
| 2020 | Graph-based Modeling of Online Communities for Fake News Detection | arXiv 2021 | Link | Link |
| 2020 | FANG: Leveraging Social Context for Fake News Detection Using Graph Representation | 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 | GCNEXT: graph convolutional network with expanded balance theory for fraudulent user detection | Social Network Analysis and Mining 2020 | Link | Link |
| 2020 | FauxWard: a graph neural network approach to fauxtography detection using social media comments | Social Network Analysis and Mining 2020 | Link | Link |
| 2020 | A Scalable Framework for Group Fraud Detection in Transaction using Deep Graph Neural Network | KDD 2020 Workshop | Link | Link |
| 2020 | Early Fraud Detection with Augmented Graph Learning | KDD 2020 Workshop | Link | Link |
| 2020 | TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook | 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 | GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media | ACL 2020 | Link | Link |
| 2020 | Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning | ACL 2020 | Link | Link |
| 2020 | DFraud3-Multi-Component Fraud Detection free of Cold-start | arXiv 2021 | Link | Link |
| 2020 | Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining | IJCAI 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 | Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection | AAAI 2020 | Link | Link |
| 2020 | Interpretable Rumor Detection in Microblogs by Attending to User Interactions | AAAI 2020 | Link | Link |
| 2020 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks | AAAI 2020 | Link | Link |
Before 2020 [Back to Top]
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2019 | A Dynamic Default Prediction Framework for Networked-guarantee Loans | CIKM 2019 | Link | Link |
| 2019 | Spam Review Detection with Graph Convolutional Networks | CIKM 2019 | Link | Link |
| 2019 | A Semi-supervised Graph Attentive Network for Fraud Detection | ICDM 2019 | Link | Link |
| 2019 | Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation | EMNLP 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 | Detect Me If You Can: Spam Bot Detection Using Inductive Representation Learning | WWW 2019 Workshop | 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 | KDD 2018 Workshop | Link | Link |
| 2018 | Selective Graph Attention Networks for Account Takeover Detection | ICDM 2018 Workshop | Link | Link |
Non-GNN Papers since 2014 [Back to Top]
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2024 | RUSH: Real-Time Burst Subgraph Detection in Dynamic Graphs | VLDB 2024 | Link | Link |
| 2024 | Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs | IEEE TKDE 2024 | Link | Link |
| 2024 | MAD: Multi-Scale Anomaly Detection in Link Streams | WSDM 2024 | Link | Link |
| 2023 | Online Corrupted User Detection and Regret Minimization | NeurIPS 2023 | Link | Link |
| 2023 | CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs | CIKM 2023 | Link | Link |
| 2023 | Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers | KDD 2023 | Link | Link |
| 2023 | Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics | KDD 2023 | Link | Link |
| 2023 | Sketch-Based Anomaly Detection in Streaming Graphs | KDD 2023 | Link | Link |
| 2023 | Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement | ECML-PKDD 2023 | Link | Link |
| 2022 | Spade: A Real-Time Fraud Detection Framework on Evolving Graphs | VLDB 2023 | Link | Link |
| 2022 | Temporal burstiness and collaborative camouflage aware fraud detection | IPM 2023 | Link | Link |
| 2022 | AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks | KDD 2022 | Link | Link |
| 2022 | Subset Node Anomaly Tracking over Large Dynamic Graphs | KDD 2022 | Link | Link |
| 2022 | Internet Financial Fraud Detection Based on Graph Learning | IEEE TCSS 2022 | Link | Link |
| 2022 | Exploiting Anomalous Structural Nodes in Dynamic Social Networks | WWW 2022 Workshop | Link | Link |
| 2022 | Adaptive Label Propagation for Group Anomaly Detection in Large-scale Networks | IEEE TKDE 2022 | Link | Link |
| 2022 | eRiskCom: an e-commerce risky community detection platform | VLDB Journal 2022 | Link | Link |
| 2022 | Knowledge Sharing via Domain Adaptation in Customs Fraud Detection | AAAI 2022 | Link | Link |
| 2022 | Active Learning for Human-in-the-Loop Customs Inspection | IEEE TKDE 2022 | Link | Link |
| 2021 | Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies | arXiv 2021 | Link | Link |
| 2021 | Customs Fraud Detection in the Presence of Concept Drift | ICDMW 2021 | Link | Link |
| 2021 | GraphScope: A Unified Engine For Big Graph Processing | VLDB 2021 | Link | 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 | Link |
| 2021 | Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks | IEEE TKDE 2021 | Link | Link |
| 2021 | GuiltyWalker: Distance to illicit nodes in the Bitcoin network | KDD 2021 Workshop | Link | Link |
| 2021 | Deep Entity Classification: Abusive Account Detection for Online Social Networks | USENIX Security 2021 | Link | Link |
| 2021 | EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph | ICDE 2021 | Link | Link |
| 2021 | Network Inference from a Mixture of Diffusion Models for Fake News Mitigation | ICWSM 2021 | Link | Link |
| 2021 | Uncovering Coordinated Networks on Social Media | ICWSM 2021 | Link | Link |
| 2021 | F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams | WSDM 2021 | Link | Link |
| 2020 | Subgraph Anomaly Detection in Financial Transaction Networks | ICAIF 2020 | Link | Link |
| 2020 | AUTOAUDIT: Mining Accounting and Time-Evolving Graphs | IEEE BigData 2020 | Link | Link |
| 2020 | SpecGreedy: Unified Dense Subgraph Detection | ECML-PKDD 2020 | Link | Link |
| 2020 | Real-Time Streaming Anomaly Detection in Dynamic Graphs | arXiv 2020 | Link | Link |
| 2020 | Robust Spammer Detection by Nash Reinforcement Learning | KDD 2020 | Link | Link |
| 2020 | DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection | KDD 2020 | Link | Link |
| 2020 | KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection | KDD 2020 Workshop | Link | Link |
| 2020 | Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services | IEEE TDSC 2020 | Link | Link |
| 2020 | Collaboration Based Multi-Label Propagation for Fraud Detection | IJCAI 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 | MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams | AAAI 2020 | Link | Link |
| 2020 | FlowScope: Spotting Money Laundering Based on Graphs | AAAI 2020 | Link | Link |
| 2019 | A Dynamic Default Prediction Framework for Networked-guarantee Loans | CIKM 2019 | Link | Link |
| 2019 | Understanding Default Behavior in Online Lending | CIKM 2019 | Link | Link |
| 2019 | SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs | DSAA 2019 | Link | Link |
| 2019 | From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms | VLDB 2019 | Link | Link |
| 2019 | TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial | VLDB 2019 | Link | Link |
| 2019 | Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks | IEEE TKDE | Link | Link |
| 2019 | Fraud Detection in Dynamic Interaction Network | IEEE TKDE | 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 | FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features | AiSec 2018 | Link | Link |
| 2018 | HGsuspector: Scalable Collective Fraud Detection in Heterogeneous Graphs | KDD 2018 Workshop | Link | Link |
| 2018 | Online E-Commerce Fraud: A Large-scale Detection and Analysis | ICDE 2018 | Link | Link |
| 2018 | FraudNE: a Joint Embedding Approach for Fraud Detection | IJCNN 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 |
| 2017 | iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection | Mobile Information Systems 2017 | Link | Link |
| 2017 | Adaptive Spammer Detection with Sparse Group Modeling | ICWSM 2017 | Link | Link |
| 2017 | NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media | IEEE TIFS 2017 | Link | Link |
| 2016 | FRAUDAR: Bounding Graph Fraud in the Face of Camouflage | KDD 2016 | Link | Link |
| 2015 | AFRAID: Fraud detection via active inference in time-evolving social networks | ASONAM 2015 | 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 |
Toolbox [Back to Top]
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
Realtime Fraud Detection with GNN on DGL
GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba
Dataset [Back to Top]
Node Outlier Detection Benchmark
Twitter Fake News Propagation Graph Dataset
Yelp & Amazon Fraud Graph Dataset
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]
Fake News Detection Through Graph-based Neural Networks: A Survey
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
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]
[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
[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
[Tutorial] Graph-Based User Behavior Modeling: From Prediction to Fraud Detection
