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Spatial-Temporal Graph (STG) data is characterized as dynamic, heterogenous, and non-stationary, leading to the continuous challenge of spatial-temporal graph learning.
State-space interpretation of model predictive control
Jay H Lee, Manfred Morari, and Carlos E Garcia · 1994
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Control system design: an introduction to state-space methods
Bernard Friedland · 2012
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State space modeling of time series
Masanao Aoki · 2013
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting
Bing Yu, Haoteng Yin, and Zhanxing Zhu · 2018
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Attention based spatial-temporal graph convolutional networks for traffic flow forecasting
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, and Huaiyu Wan · 2019
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Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting
Chao Song, Youfang Lin, Shengnan Guo, and Huaiyu Wan · 2020
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Pm2.5-gnn: A domain knowledge enhanced graph neural network for pm2.5 forecasting
Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, and Fei Gao · 2020
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Learning dynamics and heterogeneity of spatial-temporal graph data for traffic forecasting
Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, and Gao Cong · 2021
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Spatial-temporal transformer for dynamic scene graph generation
Yuren Cong, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn, and Michael Ying Yang · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
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Physical-virtual collaboration modeling for intra- and inter-station metro ridership prediction
Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, and Liang Lin · 2022
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Graph neural controlled differential equations for traffic forecasting
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, and Noseong Park · 2022
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Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting
Changlu Chen, Yanbin Liu, Ling Chen, and Chengqi Zhang · 2022
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Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, and Rong Jin · 2022
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Hierarchical spatio–temporal graph convolutional networks and transformer network for traffic flow forecasting
Guangyu Huo, Yong Zhang, Boyue Wang, Junbin Gao, Yongli Hu, and Baocai Yin · 2023
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Airformer: Predicting nationwide air quality in china with transformers
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, and Roger Zimmermann · 2023
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Group-aware graph neural network for nationwide city air quality forecasting
Ling Chen, Jiahui Xu, Binqing Wu, and Jianlong Huang · 2023
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Adaptive disentangled transformer for sequential recommendation
Yipeng Zhang, Xin Wang, Hong Chen, and Wenwu Zhu · 2023
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Lightgt: A light graph transformer for multimedia recommendation
Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, and Tat-Seng Chua · 2023
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Recipe for a general, powerful, scalable graph transformer
Ladislav Rampášek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, and Dominique Beaini · 2022
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Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao · 2023
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A decomposition dynamic graph convolutional recurrent network for traffic forecasting
Wenchao Weng, Jin Fan, Huifeng Wu, Yujie Hu, Hao Tian, Fu Zhu, and Jia Wu · 2023
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Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow prediction
Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, and Jingyuan Wang · 2023
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Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting
Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, and Xuan Song · 2023
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Chloe Wang, Oleksii Tsepa, Jun Ma, and Bo Wang · 2024
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Swin-umamba: Mamba-based unet with imagenet-based pretraining
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Multispans: A multi-range spatial-temporal transformer network for traffic forecast via structural entropy optimization
Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, and Bo Zhang · 2024
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Adct-net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer
Jianlei Kong, Xiaomeng Fan, Min Zuo, Muhammet Deveci, Xuebo Jin, and Kaiyang Zhong · 2024
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