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08/21/2023
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
With the rapid development of the Intelligent Transportation System (ITS...
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06/26/2023
Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility
Epidemic prediction is a fundamental task for epidemic control and preve...
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06/01/2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
Tensor time series (TTS) data, a generalization of one-dimensional time ...
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05/22/2023
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting
Multivariate time-series (MTS) forecasting is a paramount and fundamenta...
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12/12/2022
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling
Spatio-temporal modeling as a canonical task of multivariate time series...
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11/28/2022
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Spatial-temporal (ST) graph modeling, such as traffic speed forecasting ...
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11/27/2022
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Traffic forecasting as a canonical task of multivariate time series fore...
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03/27/2022
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations
The growing amount of data and advances in data science have created a n...
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12/14/2021
Event-Aware Multimodal Mobility Nowcasting
As a decisive part in the success of Mobility-as-a-Service (MaaS), spati...
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09/02/2021
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting
Multi-variate time series (MTS) data is a ubiquitous class of data abstr...
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08/20/2021
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
Nowadays, with the rapid development of IoT (Internet of Things) and CPS...
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07/07/2020
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control
The coronavirus disease 2019 (COVID-19) outbreak has swept more than 180...
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11/16/2019