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@GestaltCogTeam

GestaltCog

GestaltCog Team “观沧”研究组, focus on Spatial-temporal Data Science and Technology, from Institute of Computing Technology, CAS
README.md

GestaltCog “观沧”研究组

GestaltCog Team, dedicated to innovating theories and technologies for spatiotemporal data mining, to build foundational models and systems of situation-aware intelligence computing with disruptive capabilities.

“观沧”研究组，致力于创新时空数据分析挖掘的理论与技术，打造基础模型和系统，构建颠覆性的智能态势计算能力。

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  1. BasicTS BasicTS Public

    A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

    Python 1.4k 170

  2. STEP STEP Public

    Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

    Python 420 44

  3. STID STID Public

    Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

    Python 282 28

  4. GinAR GinAR Public

    Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

    Python 92 8

  5. D2STGNN D2STGNN Public

    Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

    Python 252 23

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