{"total":39,"rows":[{"id":"2410.14886","title":"Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts","created":"2024-10-18","cited_by_count":28,"area":null},{"id":"2509.06609","title":"A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models","created":"2025-09-08","cited_by_count":14,"area":null},{"id":"2602.18793","title":"From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection","created":"2026-02-21","cited_by_count":8,"area":null},{"id":"2501.11960","title":"TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection","created":"2025-01-21","cited_by_count":6,"area":null},{"id":"2606.18621","title":"Towards Anomaly Detection on Relational Data","created":"2026-06-17","cited_by_count":5,"area":null},{"id":"2506.15448","title":"Semi-supervised Graph Anomaly Detection via Robust Homophily Learning","created":"2025-06-18","cited_by_count":4,"area":null},{"id":"2505.21285","title":"Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection","created":"2025-05-27","cited_by_count":2,"area":null},{"id":"2507.06469","title":"Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning","created":"2025-07-09","cited_by_count":2,"area":null},{"id":"2601.19102","title":"OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection","created":"2026-01-27","cited_by_count":2,"area":null},{"id":"2411.17296","title":"GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers","created":"2024-11-26","cited_by_count":1,"area":null},{"id":"2508.11826","title":"From Pixels to Graphs: Deep Graph-Level Anomaly Detection on Dermoscopic Images","created":"2025-08-15","cited_by_count":1,"area":null},{"id":"2512.18673","title":"Improving Pattern Recognition of Scheduling Anomalies through Structure-Aware and Semantically-Enhanced Graphs","created":"2025-12-21","cited_by_count":1,"area":null},{"id":"2603.28300","title":"NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information","created":"2026-03-30","cited_by_count":1,"area":null},{"id":"2605.26857","title":"Generalist Graph Anomaly Detection via Prototype-Based Distillation","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2605.29526","title":"Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2607.00063","title":"Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2504.14250","title":"Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection","created":"2025-04-19","cited_by_count":0,"area":null},{"id":"2505.10876","title":"Preference Isolation Forest for Structure-based Anomaly Detection","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2510.02014","title":"Normality Calibration in Semi-supervised Graph Anomaly Detection","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2510.07847","title":"Meta-Learning Based Few-Shot Graph-Level Anomaly Detection","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2602.02925","title":"Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.06859","title":"Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2602.20019","title":"Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2603.09349","title":"TA-GGAD: Testing-time Adaptive Graph Model for Generalist Graph Anomaly Detection","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2603.13290","title":"TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems","created":"2026-02-28","cited_by_count":0,"area":null},{"id":"2604.02549","title":"Financial Anomaly Detection for the Canadian Market","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.15668","title":"NK-GAD: Neighbor Knowledge-Enhanced Unsupervised Graph Anomaly Detection","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2605.07133","title":"GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.10242","title":"When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.11749","title":"Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.19738","title":"TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2605.20879","title":"NeighborDiv: Training-free Zero-shot Generalist Graph Anomaly Detection via Neighbor Diversity","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2607.28879","title":"RareSense: Rarity-Aware Similarity Search for Anomaly Retrieval in Transactional Data","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2608.16018","title":"RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.05253","title":"GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.08152","title":"Topology-induced Operators Reveal Complementary Graph Representations without Training","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.18107","title":"FoundAna: A GNN-assisted Foundation Model for Graph Anomaly Detection","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.22136","title":"DiFA: Dual Evidence Fusion and Aggregation for Token-Level Text Anomaly Detection","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.33370","title":"The Selection Rule Decides the Winner: A Pre-Registered Audit of Open-Set Graph Anomaly Detection","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}