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Pre-training Enhanced Spatial-temporal Graph Neural Network for
  Multivariate Time Series Forecasting

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

18 June 2022
Zezhi Shao
Zhao Zhang
Fei Wang
Yongjun Xu
    AI4TS
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Papers citing "Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting"

50 / 74 papers shown
Title
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring
Kai Hu
Zhidan Zhao
Zhifeng Hao
GNN
43
0
0
10 Apr 2025
Embedding spatial context in urban traffic forecasting with contrastive pre-training
Embedding spatial context in urban traffic forecasting with contrastive pre-training
Matthew Low
Arian Prabowo
Hao Xue
Flora D. Salim
AI4TS
55
0
0
19 Mar 2025
Persistent Homology-induced Graph Ensembles for Time Series Regressions
Persistent Homology-induced Graph Ensembles for Time Series Regressions
Viet The Nguyen
Duy Anh Pham
An Thai Le
Jans Peter
Gunther Gust
AI4TS
55
0
0
18 Mar 2025
Deep Learning for Time Series Forecasting: A Survey
X. Kong
Zhenghao Chen
Weiyao Liu
Kaili Ning
Lechao Zhang
Syauqie Muhammad Marier
Yichen Liu
Yuhao Chen
Feng Xia
AI4TS
AI4CE
50
4
0
13 Mar 2025
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
Daoyu Wang
Mingyue Cheng
Z. Liu
Q. Liu
Enhong Chen
AI4TS
DiffM
47
1
0
24 Feb 2025
PPGF: Probability Pattern-Guided Time Series Forecasting
PPGF: Probability Pattern-Guided Time Series Forecasting
Yanru Sun
Zongxia Xie
Haoyu Xing
Hualong Yu
Q. Hu
AI4TS
46
0
0
18 Feb 2025
Strada-LLM: Graph LLM for traffic prediction
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas
Yangxintong Lyu
Bruno Cornelis
Alexandre Alahi
Adrian Munteanu
AI4TS
56
0
0
17 Feb 2025
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale
  Traffic Forecasting
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
Tongtong Zhang
Zhiyong Cui
Bingzhang Wang
Yilong Ren
Haiyang Yu
Pan Deng
Yinhai Wang
AI4TS
70
0
0
18 Dec 2024
BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and
  Traffic State Data Analysis
BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis
Xie Yu
Jingyuan Wang
Yifan Yang
Qian Huang
Ke Qu
72
3
0
01 Dec 2024
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
Incorporating Long-term Data in Training Short-term Traffic Prediction
  Model
Incorporating Long-term Data in Training Short-term Traffic Prediction Model
Xiannan Huang
Shuhan Qiu
Yan Cheng
Quan Yuan
Chao Yang
AI4TS
30
0
0
16 Oct 2024
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
M. Germán-Morales
A. J. Rivera-Rivas
M. J. del Jesus Díaz
C. J. Carmona
AI4TS
AI4CE
51
0
0
15 Oct 2024
A Population-to-individual Tuning Framework for Adapting Pretrained LM
  to On-device User Intent Prediction
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
Jiahui Gong
Jingtao Ding
Fanjin Meng
Guilong Chen
Hong Chen
Shen Zhao
Haisheng Lu
Yong Li
MU
37
6
0
19 Aug 2024
Scalable Transformer for High Dimensional Multivariate Time Series
  Forecasting
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
Xin Zhou
Weiqing Wang
Wray L. Buntine
Shilin Qu
Abishek Sriramulu
Weicong Tan
Christoph Bergmeir
AI4TS
50
1
0
08 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
40
0
0
02 Aug 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen
Tianyu Cao
Ninon De Mecquenem
Jiahe Li
Zhilong Chen
F. Friederici
Yang Yang
38
1
0
31 Jul 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning:
  Lessons Learned
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
Du Yin
Jinliang Deng
Shuang Ao
Zechen Li
Hao Xue
Arian Prabowo
Renhe Jiang
Xuan Song
Flora Salim
AI4TS
42
0
0
18 Jun 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for
  Multivariate Time Series Forecasting
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
Yue Jiang
Xiucheng Li
Yile Chen
Shuai Liu
Weilong Kong
Antonis F. Lentzakis
Gao Cong
AI4TS
AI4CE
31
1
0
18 Jun 2024
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic
  Forecasting
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
Zhanyu Liu
Jianrong Ding
Guanjie Zheng
AI4TS
22
2
0
03 Jun 2024
Sheaf HyperNetworks for Personalized Federated Learning
Sheaf HyperNetworks for Personalized Federated Learning
B. Nguyen
Lorenzo Sani
Xinchi Qiu
Pietro Lió
Nicholas D. Lane
33
0
0
31 May 2024
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic
  Prediction
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
OOD
AI4TS
42
11
0
28 May 2024
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
Yiqing Wu
Ruobing Xie
Zhao Zhang
Xu-Yao Zhang
Fuzhen Zhuang
Leyu Lin
Zhanhui Kang
Yongjun Xu
22
2
0
24 May 2024
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable
  for Variable Missing
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
Chengqing Yu
Fei Wang
Zezhi Shao
Tangwen Qian
Zhao Zhang
Wei Wei
Yongjun Xu
AI4CE
31
17
0
18 May 2024
A Survey of Generative Techniques for Spatial-Temporal Data Mining
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Qianru Zhang
Haixin Wang
Cheng Long
Liangcai Su
Xingwei He
...
Tailin Wu
Hongzhi Yin
S. Yiu
Qi Tian
Christian S. Jensen
AI4TS
52
7
0
15 May 2024
Low-rank Adaptation for Spatio-Temporal Forecasting
Low-rank Adaptation for Spatio-Temporal Forecasting
Weilin Ruan
Wei Chen
Xilin Dang
Jianxiang Zhou
Weichuang Li
Xu Liu
Yuxuan Liang
AI4TS
25
2
0
11 Apr 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
43
45
0
25 Mar 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey
Foundation Models for Time Series Analysis: A Tutorial and Survey
Yuxuan Liang
Haomin Wen
Yuqi Nie
Yushan Jiang
Ming Jin
Dongjin Song
Shirui Pan
Qingsong Wen
AI4TS
AI4CE
89
113
0
21 Mar 2024
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for
  Traffic Forecasting
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
Wei Ju
Yusheng Zhao
Yifang Qin
Siyu Yi
Jingyang Yuan
Zhiping Xiao
Xiao Luo
Xiting Yan
Ming Zhang
26
23
0
02 Mar 2024
Generative Pretrained Hierarchical Transformer for Time Series
  Forecasting
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
Zhiding Liu
Jiqian Yang
Mingyue Cheng
Yucong Luo
Zhi Li
AI4TS
27
14
0
26 Feb 2024
UrbanGPT: Spatio-Temporal Large Language Models
UrbanGPT: Spatio-Temporal Large Language Models
Zhonghang Li
Lianghao Xia
Jiabin Tang
Yong-mei Xu
Lei Shi
Long Xia
Dawei Yin
Chao Huang
AI4TS
40
37
0
25 Feb 2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network
  Generation
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
Yuan Yuan
Chenyang Shao
Jingtao Ding
Depeng Jin
Yong Li
AI4TS
AI4CE
45
18
0
19 Feb 2024
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal
  Prediction
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan
Jingtao Ding
J. Feng
Depeng Jin
Yong Li
AI4TS
29
50
0
19 Feb 2024
RPMixer: Shaking Up Time Series Forecasting with Random Projections for
  Large Spatial-Temporal Data
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
Chin-Chia Michael Yeh
Yujie Fan
Xin Dai
Uday Singh Saini
Vivian Lai
...
Huiyuan Chen
Yan Zheng
Zhongfang Zhuang
Liang Wang
Wei Zhang
AI4TS
20
7
0
16 Feb 2024
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic
  Forecasting
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
Zhanyu Liu
Guanjie Zheng
Yanwei Yu
AI4TS
23
5
0
01 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time
  Series Forecasting
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
Jinliang Deng
Feiyang Ye
Du Yin
Xuan Song
Ivor W. Tsang
Hui Xiong
AI4TS
38
2
0
22 Jan 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for
  Long-Term Forecasting
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting
Shubao Zhao
Ming Jin
Zhaoxiang Hou
Che-Sheng Yang
Zengxiang Li
Qingsong Wen
Yi Wang
22
2
0
10 Jan 2024
FCDNet: Frequency-Guided Complementary Dependency Modeling for
  Multivariate Time-Series Forecasting
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting
Weijun Chen
Heyuan Wang
Ye Tian
Shijie Guan
Ning Liu
AI4TS
25
1
0
27 Dec 2023
ImputeFormer: Low Rankness-Induced Transformers for Generalizable
  Spatiotemporal Imputation
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation
Tong Nie
Guoyang Qin
Wei Ma
Yuewen Mei
Jiangming Sun
AI4TS
AI4CE
29
23
0
04 Dec 2023
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal
  Forecasting
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
Haotian Gao
Renhe Jiang
Zheng Dong
Jinliang Deng
Yuxin Ma
Xuan Song
AI4TS
44
15
0
01 Dec 2023
Large Pre-trained time series models for cross-domain Time series
  analysis tasks
Large Pre-trained time series models for cross-domain Time series analysis tasks
Harshavardhan Kamarthi
B. A. Prakash
VLM
AI4TS
15
10
0
19 Nov 2023
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
AI4TS
AI4CE
85
25
0
07 Nov 2023
GraphGPT: Graph Instruction Tuning for Large Language Models
GraphGPT: Graph Instruction Tuning for Large Language Models
Jiabin Tang
Yuhao Yang
Wei Wei
Lei Shi
Lixin Su
Suqi Cheng
Dawei Yin
Chao Huang
31
121
0
19 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
117
0
16 Oct 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
18
57
0
09 Oct 2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
Zijian Zhang
Xiangyu Zhao
Qidong Liu
Chunxu Zhang
Qian Ma
Wanyu Wang
Hongwei Zhao
Yiqi Wang
Zitao Liu
AI4TS
87
17
0
18 Sep 2023
Test-Time Compensated Representation Learning for Extreme Traffic
  Forecasting
Test-Time Compensated Representation Learning for Extreme Traffic Forecasting
Zhiwei Zhang
Weizhong Zhang
Yaowei Huang
Kani Chen
AI4TS
9
0
0
16 Sep 2023
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Yucheng Wang
Yuecong Xu
Jianfei Yang
Min-man Wu
Xiaoli Li
Lihua Xie
Zhenghua Chen
AI4TS
34
37
0
11 Sep 2023
Irregular Traffic Time Series Forecasting Based on Asynchronous
  Spatio-Temporal Graph Convolutional Network
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
Weijia Zhang
Le Zhang
Jindong Han
Hao Liu
Jingbo Zhou
Yu Mei
Hui Xiong
GNN
AI4TS
38
10
0
31 Aug 2023
A Co-training Approach for Noisy Time Series Learning
A Co-training Approach for Noisy Time Series Learning
Weiqi Zhang
Jianfeng Zhang
Jia Li
Fugee Tsung
AI4TS
33
12
0
24 Aug 2023
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