ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.09113
  4. Cited By
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
ArXivPDFHTML

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

24 / 74 papers shown
Title
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer
  SOTA for Traffic Forecasting
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
Hangcheng Liu
Zheng Dong
Renhe Jiang
Jiewen Deng
Jinliang Deng
Quanjun Chen
Xuan Song
AI4TS
35
6
0
21 Aug 2023
Enhancing Spatiotemporal Traffic Prediction through Urban Human Activity
  Analysis
Enhancing Spatiotemporal Traffic Prediction through Urban Human Activity Analysis
Sumin Han
Y. Park
Minji Lee
Jisun An
Dongman Lee
GNN
HAI
11
7
0
20 Aug 2023
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank
Zhanyu Liu
Guanjie Zheng
Yanwei Yu
AI4TS
16
30
0
17 Aug 2023
DSformer: A Double Sampling Transformer for Multivariate Time Series
  Long-term Prediction
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
Chengqing Yu
Fei Wang
Zezhi Shao
Tao Sun
Lin Wu
Yongjun Xu
AI4TS
30
74
0
07 Aug 2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic
  Forecasting
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
Zezhi Shao
Fei Wang
Zhao Zhang
Yuchen Fang
G. Jin
Yongjun Xu
ViT
AI4TS
30
5
0
27 Jul 2023
Disentangling Node Attributes from Graph Topology for Improved
  Generalizability in Link Prediction
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction
Ayan Chatterjee
Robin G. Walters
G. Menichetti
Tina Eliassi-Rad
AI4CE
24
2
0
17 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
C. Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TS
AI4CE
41
143
0
07 Jul 2023
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural
  Networks for Traffic Prediction
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
Xunlian Luo
Chunjiang Zhu
Detian Zhang
Qing Li
GNN
AI4TS
26
6
0
02 Jul 2023
Homological Neural Networks: A Sparse Architecture for Multivariate
  Complexity
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
Yuanrong Wang
Antonio Briola
T. Aste
36
5
0
27 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Y. Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
114
102
0
16 Jun 2023
A Data-driven Region Generation Framework for Spatiotemporal
  Transportation Service Management
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management
Liyue Chen
Jiangyi Fang
Zhe Yu
Yongxin Tong
Shaosheng Cao
Leye Wang
AI4TS
24
7
0
05 Jun 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and
  Scalable Time Series Forecasting
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
Jinliang Deng
Xiusi Chen
Renhe Jiang
Du Yin
Yezhou Yang
Xuan Song
Ivor W. Tsang
BDL
AI4TS
32
15
0
22 May 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Z. Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
31
50
0
18 May 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban
  Computing: A Survey
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
G. Jin
Yuxuan Liang
Yuchen Fang
Zezhi Shao
Jincai Huang
Junbo Zhang
Yu Zheng
AI4TS
AI4CE
85
181
0
25 Mar 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal
  Forecasting
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting
Lars Odegaard Bentsen
N. Warakagoda
R. Stenbro
P. Engelstad
AI4TS
13
1
0
23 Mar 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives
Causal Discovery from Temporal Data: An Overview and New Perspectives
Chang Gong
Di Yao
Chuzhe Zhang
Wenbin Li
Jingping Bi
AI4TS
CML
16
17
0
17 Mar 2023
Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Zhe Li
Zhongwen Rao
Lujia Pan
Pengyun Wang
Zenglin Xu
AI4TS
24
49
0
21 Jan 2023
AirFormer: Predicting Nationwide Air Quality in China with Transformers
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang
Yutong Xia
Songyu Ke
Yiwei Wang
Qingsong Wen
Junbo Zhang
Yu Zheng
R. Zimmermann
AI4TS
AI4CE
24
106
0
29 Nov 2022
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Renhe Jiang
Zhaonan Wang
Jiawei Yong
P. Jeph
Quanjun Chen
Yasumasa Kobayashi
Xuan Song
Shintaro Fukushima
Toyotaro Suzumura
AI4TS
24
177
0
27 Nov 2022
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
Zezhi Shao
Zhao Zhang
Fei Wang
Wei Wei
Yongjun Xu
AI4TS
19
204
0
10 Aug 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Exploring Context Generalizability in Citywide Crowd Mobility
  Prediction: An Analytic Framework and Benchmark
Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark
Liyue Chen
Xiaoxiang Wang
Leye Wang
28
1
0
30 Jun 2021
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
226
0
18 Jan 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,450
0
18 Mar 2020
Previous
12