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Spatial-Temporal Identity: A Simple yet Effective Baseline for
  Multivariate Time Series Forecasting
v1v2 (latest)

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting

10 August 2022
Zezhi Shao
Zhao Zhang
Fei Wang
Wei Wei
Yongjun Xu
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting"

19 / 19 papers shown
Title
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
Yi-Fei Wang
Zhenghong Wang
Fan Zhang
Chengling Tang
Chaogui Kang
...
Sijie Ruan
W. Zhang
Yu Zheng
Philip S. Yu
Yu Liu
AI4CE
26
0
0
16 Jun 2025
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
Kai Tang
Ji Zhang
Hua Meng
Minbo Ma
Qi Xiong
Jie Xu
Tianrui Li
Tianrui Li
AI4TS
27
0
0
16 Jun 2025
Nearest Neighbor Multivariate Time Series Forecasting
Nearest Neighbor Multivariate Time Series Forecasting
Huiliang Zhang
Ping Nie
Lijun Sun
Benoit Boulet
AI4TS
107
1
0
16 May 2025
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Tong Nie
Jian Sun
Wei Ma
218
4
0
27 Mar 2025
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
Qishen Zhou
Yifan Zhang
Michail A. Makridis
Anastasios Kouvelas
Yibing Wang
Simon Hu
AI4TS
135
1
0
21 Jan 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
Hao Wu
Haomin Wen
Guibin Zhang
Yutong Xia
Kai Wang
Yuxuan Liang
Yu Zheng
Kun Wang
195
2
0
17 Jan 2025
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Yuan Yuan
Jingtao Ding
Chonghua Han
Depeng Jin
Yong Li
Yong Li
AI4TSAI4CE
187
2
0
20 Nov 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
474
0
0
22 Oct 2024
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Wei Chen
Yuxuan Liang
AI4TS
77
2
0
16 Oct 2024
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Tong Nie
Junlin He
Yuewen Mei
Guoyang Qin
Guilong Li
Jian Sun
Wei Ma
139
4
0
30 Aug 2024
Physics-guided Active Sample Reweighting for Urban Flow Prediction
Physics-guided Active Sample Reweighting for Urban Flow Prediction
Wei Jiang
Tong Chen
Guanhua Ye
Wentao Zhang
Lizhen Cui
Zi Huang
Hongzhi Yin
AI4TSAI4CE
67
5
0
18 Jul 2024
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural
  Network for Traffic Flow Forecasting
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
Qinyao Luo
Silu He
Xing Han
Yuhan Wang
Haifeng Li
AI4TS
98
49
0
25 Mar 2024
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline
Shuhao Li
Yue Cui
Jingyi Xu
Libin Li
Lingkai Meng
Weidong Yang
Fan Zhang
Xiaofang Zhou
AI4TS
56
1
0
22 Mar 2024
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Rei Tamaru
Yang Cheng
Steven T. Parker
Ernie Perry
Bin Ran
S. Ahn
113
0
0
23 Jan 2024
Dynamic Frequency Domain Graph Convolutional Network for Traffic
  Forecasting
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting
Yujie Li
Zezhi Shao
Yongjun Xu
Qiang Qiu
Zhaogang Cao
Fei Wang
AI4TSGNN
48
6
0
19 Dec 2023
Graph Deep Learning for Time Series Forecasting
Graph Deep Learning for Time Series Forecasting
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TSAI4CE
122
16
0
24 Oct 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph
  Learning
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning
Chao Chen
Haoyu Geng
Nianzu Yang
Xiaokang Yang
Junchi Yan
104
8
0
22 Mar 2023
Spatial-Temporal Interactive Dynamic Graph Convolution Network for
  Traffic Forecasting
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
Aoyun Liu
Yaying Zhang
GNNAI4TS
66
32
0
18 May 2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting
Multi-scale Attention Flow for Probabilistic Time Series Forecasting
Shibo Feng
Chunyan Miao
Ke-Li Xu
Jiaxiang Wu
Pengcheng Wu
Fan Lin
P. Zhao
BDLAI4TS
56
27
0
16 May 2022
1