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Open-Set Graph Anomaly Detection via Normal Structure Regularisation.

, , , , и . CoRR, (2023)

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Mahsa Salehi

Jila Salehi

Mahsa Shirmohammadi

Dirk Mahsarski

Mahsa Najafzadeh

 

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Improving Position Encoding of Transformers for Multivariate Time Series Classification., , , и . CoRR, (2023)High Impact False Data Injection Attack against Real-time Pricing in Smart Grids., , , , и . ISGT Europe, стр. 1-5. IEEE, (2019)Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids., , , и . ISGT-Europe, стр. 294-298. IEEE, (2020)ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection., , , , и . PAKDD (2), том 13281 из Lecture Notes in Computer Science, стр. 17-29. Springer, (2022)Extremely Fast Hoeffding Adaptive Tree., , и . ICDM, стр. 319-328. IEEE, (2022)Disjoint-CNN for Multivariate Time Series Classification., , и . ICDM (Workshops), стр. 760-769. IEEE, (2021)Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment., , , , и . AAAI, стр. 4676-4684. AAAI Press, (2023)Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns., , , и . Data Min. Knowl. Discov., 35 (2): 450-504 (2021)Information resources estimation for accurate distribution-based concept drift detection., , и . Inf. Process. Manag., 59 (3): 102911 (2022)We Can Pay Less: Coordinated False Data Injection Attack Against Residential Demand Response in Smart Grids., , , и . CODASPY, стр. 41-52. ACM, (2021)