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MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.

, , , and . CoRR, (2023)

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Contrastive Representation based Active Learning for Time Series., , , and . DASC/PiCom/CBDCom/CyberSciTech, page 1-6. IEEE, (2022)CellPAD: Detecting Performance Anomalies in Cellular Networks via Regression Analysis., , , , and . Networking, page 19-27. IFIP, (2018)SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning., , , , , , , , , and 2 other author(s). KDD, page 5329-5338. ACM, (2024)Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling., , , , , , , and . CoRR, (2024)An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis., , , , , , and . KDD, page 1951-1959. ACM, (2017)MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation., , , and . CIKM, page 1503-1512. ACM, (2023)Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning., , , , , , and . CIKM, page 4380-4384. ACM, (2023)Mask-GVAE: Blind Denoising Graphs via Partition., , , , , , and . WWW, page 3688-3698. ACM / IW3C2, (2021)Generative Oversampling for Imbalanced Data via Majority-Guided VAE., , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3315-3330. PMLR, (2023)A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective., , , , and . Networking (1), volume 7289 of Lecture Notes in Computer Science, page 318-330. Springer, (2012)