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

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
ArXivPDFHTML

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

16 / 16 papers shown
Title
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
77
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
68
2
0
17 Jan 2025
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Daojun Liang
Haixia Zhang
Dongfeng Yuan
AI4TS
40
0
0
09 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
AI4TS
AI4CE
84
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
130
0
0
22 Oct 2024
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow
  Prediction Method
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method
Peng Xie
Minbo Ma
Bin Wang
Junbo Zhang
Tianrui Li
31
0
0
08 Sep 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
37
3
0
30 Aug 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu
Zhe Jiang
Zelin Xu
Tingsong Xiao
Zhengkun Xiao
Haibo Wang
Shigang Chen
AI4TS
42
0
0
02 Aug 2024
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs
  with Selective State Spaces
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
Jinhyeok Choi
Heehyeon Kim
Minhyeong An
Joyce Jiyoung Whang
Mamba
24
1
0
17 Jun 2024
SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic
  Flow Prediction
SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Prediction
Wenfeng Zhang
Xin Li
Anqi Li
Xiaoting Huang
Ti Wang
Honglei Gao
AI4TS
37
1
0
18 Apr 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
33
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
AI4TS
GNN
22
4
0
19 Dec 2023
ChatTraffic: Text-to-Traffic Generation via Diffusion Model
ChatTraffic: Text-to-Traffic Generation via Diffusion Model
Chengyang Zhang
Yong Zhang
Qitan Shao
Bo Li
Yisheng Lv
Xinglin Piao
Baocai Yin
30
5
0
27 Nov 2023
Exploring Progress in Multivariate Time Series Forecasting:
  Comprehensive Benchmarking and Heterogeneity Analysis
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
23
58
0
09 Oct 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series
  Forecasting
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
Shengsheng Lin
Weiwei Lin
Wentai Wu
Feiyu Zhao
Ruichao Mo
Haotong Zhang
AI4TS
34
51
0
22 Aug 2023
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
108
227
0
18 Jan 2021
1