Spatio-Temporal Partial Sensing Forecast for Long-term Traffic

arXiv:2408.02689 · cs.LG, cs.AI · Submitted 2024-08-02 · Read on arXiv

cs.LG, cs.AI

Submitted: 2024-08-02

Updated: 2026-09-30

Comments: Published in Transactions on Machine Learning Research, 2025

Code: https://github.com/zbliu98/SLPF

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 1× in this paper · explained in 1 episode
• Distribution Shift — 1× in this paper · explained in 7 episodes

Sources

• Deep Learning using Rectified Linear Units (ReLU)
• Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
• Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
• Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
• Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
• A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
• Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
• Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
• GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

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