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07/17/2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Multivariate time-series anomaly detection is critically important in ma...
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07/07/2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Time series are the primary data type used to record dynamic system meas...
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10/30/2022
How Far are We from Robust Long Abstractive Summarization?
Abstractive summarization has made tremendous progress in recent years. ...
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07/03/2022
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics
Long documents such as academic articles and business reports have been ...
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10/04/2021