% Key papers for Graph anomaly detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2020_rumor_100220,
  title = {{Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5393},
}

@inproceedings{aaai2020_order_100293,
  title = {{Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5466},
}

@inproceedings{aaai2023_graph_3794,
  title = {{Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25907},
}

@inproceedings{aaai2022_lunar_2297,
  title = {{LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06737-lunar-unifying-local-outlier-detection-methods-via-graph-neural-networks/},
}

@inproceedings{aaai2020_flowscope_102044,
  title = {{FlowScope: Spotting Money Laundering Based on Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5906},
}

@inproceedings{aaai2023_semi_4667,
  title = {{Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26702},
}

@inproceedings{aaai2017_multiple_99768,
  title = {{Multiple Source Detection without Knowing the Underlying Propagation Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10477},
}

@inproceedings{aaai2020_midas_101864,
  title = {{Midas: Microcluster-Based Detector of Anomalies in Edge Streams}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5724},
}

@inproceedings{aaai2021_towards_1526,
  title = {{Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04537-towards-consumer-loan-fraud-detection-graph-neural-networks-with-role-constrained-conditional-random-field/},
}

@inproceedings{aaai2024_revisiting_7150,
  title = {{Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28773},
}

@inproceedings{aaai2024_ada_5088,
  title = {{ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28691},
}

@inproceedings{icml2022_rethinking_41086,
  title = {{Rethinking Graph Neural Networks for Anomaly Detection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17967},
}

@inproceedings{aaai2024_dga_5557,
  title = {{DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29067},
}

@inproceedings{aaai2024_hierarchical_6208,
  title = {{Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28666},
}

@inproceedings{neurips2022_twibot_64635,
  title = {{TwiBot-22: Towards Graph-Based Twitter Bot Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55662},
}

@inproceedings{aaai2024_barely_5271,
  title = {{Barely Supervised Learning for Graph-Based Fraud Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29593},
}

@inproceedings{aaai2020_multi_100236,
  title = {{Multi-Scale Anomaly Detection on Attributed Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5409},
}

@inproceedings{aaai2023_cross_3364,
  title = {{Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25591},
}

@inproceedings{aaai2024_gin_6084,
  title = {{GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27755},
}

@inproceedings{neurips2022_dgraph_63805,
  title = {{DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55658},
}

@inproceedings{aaai2024_dig_5682,
  title = {{DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28785},
}

@inproceedings{aaai2025_dynamic_8851,
  title = {{Dynamic Spectral Graph Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33464},
}

@inproceedings{aaai2025_a_7898,
  title = {{A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33356},
}

@inproceedings{aaai2025_context_8518,
  title = {{Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33319},
}

@inproceedings{aaai2025_iohunter_9491,
  title = {{IOHunter: Graph Foundation Model to Uncover Online Information Operations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35046},
}

@inproceedings{aaai2025_uniform_11153,
  title = {{UniFORM: Towards Unified Framework for Anomaly Detection on Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33369},
}

@inproceedings{aaai2025_global_9345,
  title = {{Global Attribute-Association Pattern Aggregation for Graph Fraud Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33264},
}

@inproceedings{neurips2024_rethinking_73129,
  title = {{Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94301},
}

@inproceedings{neurips2024_unigad_74152,
  title = {{UniGAD: Unifying Multi-level Graph Anomaly Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93390},
}

@inproceedings{aaai2024_power_6972,
  title = {{Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30457},
}

@inproceedings{aaai2025_unveiling_11192,
  title = {{Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33760},
}

@inproceedings{neurips2024_generative_74664,
  title = {{Generative Semi-supervised Graph Anomaly Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92932},
}

@inproceedings{aaai2026_correcting_107302,
  title = {{Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39654},
}

@inproceedings{aaai2025_dynamic_8849,
  title = {{Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33431},
}