| 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 |
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 |
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 |
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 |
RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation |
arXiv 2023 |
Link |
Link |
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