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Coupled Layer-wise Graph Convolution for Transportation Demand
  Prediction

Coupled Layer-wise Graph Convolution for Transportation Demand Prediction

AAAI Conference on Artificial Intelligence (AAAI), 2020
15 December 2020
Junchen Ye
Leilei Sun
Bowen Du
Yanjie Fu
Hui Xiong
    GNNAI4TS
ArXiv (abs)PDFHTML

Papers citing "Coupled Layer-wise Graph Convolution for Transportation Demand Prediction"

50 / 50 papers shown
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Mohammad Shirzadi
Ali Safarpoor Dehkordi
Ahad N. Zehmakan
145
1
0
10 Nov 2025
JiuTian Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
JiuTian Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
Liangzhe Han
Leilei Sun
T. Zhu
Tao Tao
Jibin Wang
Weifeng Lv
94
1
0
26 Oct 2025
ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting
ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting
Hyotaek Jeon
Hyunwook Lee
Juwon Kim
Sungahn Ko
AI4TSLRM
207
1
0
17 Sep 2025
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
Anita Graser
AI4TS
332
0
0
31 Mar 2025
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional networkAdvanced Engineering Informatics (AEI), 2024
Dongran Zhang
Jiangnan Yan
K. Polat
A. Alhudhaif
Jun Li
AI4TS
294
28
0
31 Dec 2024
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
Hongjun Wang
Jiyuan Chen
Lingyu Zhang
Renhe Jiang
Xuan Song
AI4TS
418
1
0
18 Nov 2024
Fully Automated Correlated Time Series Forecasting in Minutes
Fully Automated Correlated Time Series Forecasting in MinutesProceedings of the VLDB Endowment (PVLDB), 2024
Xinle Wu
Xingjian Wu
Dalin Zhang
Miao Zhang
Chenjuan Guo
Bin Yang
Christian S. Jensen
AI4TS
333
16
0
06 Nov 2024
Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger
  Flow Prediction of Subway Stations
Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations
Xiannan Huang
Chao Yang
Quan Yuan
AI4TS
205
2
0
16 Oct 2024
Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal
  Interactive Traffic Forecasting Framework
Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Framework
Mu Liu
MingChen Sun YingJi Li
Ying Wang
AI4TS
221
0
0
12 Oct 2024
A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts
  for Traffic Flow Prediction
A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction
Guangyu Wang
Yujie Chen
Ming Gao
Zhiqiao Wu
Jiafu Tang
Jiabi Zhao
AI4TSMoE
316
7
0
26 Sep 2024
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
Wenchao Weng
Mei Wu
Hanyu Jiang
Wanzeng Kong
Xiangjie Kong
Feng Xia
166
0
0
12 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
261
7
0
18 Jul 2024
Learning Graph Structures and Uncertainty for Accurate and Calibrated
  Time-series Forecasting
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
Harshavardhan Kamarthi
Lingkai Kong
Alexander Rodríguez
Chao Zhang
B Aditya Prakash
AI4TS
276
1
0
02 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
260
1
0
18 Jun 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
OODAI4TS
269
25
0
28 May 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time
  Series Forecasting
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series ForecastingKnowledge Discovery and Data Mining (KDD), 2024
Zheng Dong
Renhe Jiang
Haotian Gao
Hangchen Liu
Jinliang Deng
Qingsong Wen
Xuan Song
AI4TS
419
52
0
17 May 2024
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of
  Experts
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
Hyunwoo Lee
Sungahn Ko
MoEAI4TS
278
41
0
05 Mar 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
D. Yin
Chao Huang
AI4TS
470
179
0
25 Feb 2024
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning
  Approach
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach
Xin Chen
Mingliang Hou
Tao Tang
Achhardeep Kaur
Xiwei Xu
182
9
0
06 Feb 2024
Full Bayesian Significance Testing for Neural Networks
Full Bayesian Significance Testing for Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2024
Zehua Liu
Zimeng Li
Jingyuan Wang
Yue He
BDL
351
13
0
24 Jan 2024
Spatial-Temporal Large Language Model for Traffic Prediction
Spatial-Temporal Large Language Model for Traffic Prediction
Chenxi Liu
Sun Yang
Qianxiong Xu
Zhishuai Li
Cheng Long
Ziyue Li
Rui Zhao
AI4TS
651
162
0
18 Jan 2024
Learning Time-aware Graph Structures for Spatially Correlated Time
  Series Forecasting
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Minbo Ma
Jilin Hu
Christian S. Jensen
Fei Teng
Peng Han
Zhiqiang Xu
Tian-Jie Li
AI4TS
214
13
0
27 Dec 2023
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
AI4TSAI4CE
335
41
0
07 Nov 2023
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for
  Traffic Forecast via Structural Entropy Optimization
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy OptimizationWeb Search and Data Mining (WSDM), 2023
Dongcheng Zou
Senzhang Wang
Xuefeng Li
Hao Peng
Yuandong Wang
Chunyang Liu
Kehua Sheng
Bo Zhang
AI4TS
246
49
0
06 Nov 2023
Towards Generative Modeling of Urban Flow through Knowledge-enhanced
  Denoising Diffusion
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion
Zhilun Zhou
Jingtao Ding
Yu Liu
Depeng Jin
Yong Li
DiffMAI4CE
239
40
0
19 Sep 2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute PredictionInternational Conference on Information and Knowledge Management (CIKM), 2023
Zijian Zhang
Xiangyu Zhao
Qidong Liu
Chunxu Zhang
Qian Ma
Wanyu Wang
Hongwei Zhao
Yiqi Wang
Zitao Liu
AI4TS
337
36
0
18 Sep 2023
Unified Data Management and Comprehensive Performance Evaluation for
  Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]
Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]
Jiawei Jiang
Chengkai Han
Wayne Xin Zhao
Jingyuan Wang
393
2
0
24 Aug 2023
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
530
32
0
21 Aug 2023
Proactive Resource Request for Disaster Response: A Deep Learning-based
  Optimization Model
Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization ModelInformation systems research (ISR), 2023
Hongzhe Zhang
Xiaohang Zhao
Xiao Fang
Bintong Chen
187
9
0
31 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 DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TSAI4CE
490
406
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07 Jul 2023
OpenSiteRec: An Open Dataset for Site Recommendation
OpenSiteRec: An Open Dataset for Site RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Xinhang Li
Xiang Zhao
Yejing Wang
Yu Liu
Yong Li
Cheng Long
Yong Zhang
Chunxiao Xing
189
1
0
03 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
GNNAI4TS
441
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02 Jul 2023
Recent Advances in Graph-based Machine Learning for Applications in
  Smart Urban Transportation Systems
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems
Hongde Wu
Sen Yan
Mingming Liu
GNNAI4TS
160
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02 Jun 2023
LibCity: A Unified Library Towards Efficient and Comprehensive Urban
  Spatial-Temporal Prediction
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction
Jiawei Jiang
Chengkai Han
Wenjun Jiang
Wayne Xin Zhao
Jingyuan Wang
AI4TSAI4CE
716
19
0
27 Apr 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
AutoSTL: Automated Spatio-Temporal Multi-Task LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Zijian Zhang
Xiangyu Zhao
Hao Miao
Chunxu Zhang
Hongwei Zhao
Junbo Zhang
AI4TS
257
30
0
16 Apr 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 SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
G. Jin
Yuxuan Liang
Yuchen Fang
Zezhi Shao
Jincai Huang
Junbo Zhang
Yu Zheng
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365
425
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25 Mar 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for
  Traffic Demand Forecasting: An Edge-Computing Approach
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing ApproachIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
Mahmoud Nazzal
Abdallah Khreishah
Joyoung Lee
Shaahin Angizi
Ala I. Al-Fuqaha
Mohsen Guizani
273
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28 Feb 2023
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for
  Traffic Flow Prediction
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow PredictionAAAI Conference on Artificial Intelligence (AAAI), 2023
Jiawei Jiang
Chengkai Han
Wayne Xin Zhao
Jingyuan Wang
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400
503
0
19 Jan 2023
Causal conditional hidden Markov model for multimodal traffic prediction
Causal conditional hidden Markov model for multimodal traffic predictionAAAI Conference on Artificial Intelligence (AAAI), 2023
Yu Zhao
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327
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19 Jan 2023
Spatio-temporal neural structural causal models for bike flow prediction
Spatio-temporal neural structural causal models for bike flow predictionAAAI Conference on Artificial Intelligence (AAAI), 2023
Pan Deng
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Mulan X. Wang
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302
39
0
19 Jan 2023
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling
Renhe Jiang
Zhaonan Wang
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Xuan Song
Toyotaro Suzumura
Shintaro Fukushima
GNNBDLAI4TS
373
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12 Dec 2022
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Spatio-Temporal Meta-Graph Learning for Traffic ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2022
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383
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NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction
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146
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Learning the Evolutionary and Multi-scale Graph Structure for
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Bowen Du
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Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge
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324
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Spatial-Temporal Interactive Dynamic Graph Convolution Network for
  Traffic Forecasting
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
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342
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On the importance of stationarity, strong baselines and benchmarks in
  transport prediction problems
On the importance of stationarity, strong baselines and benchmarks in transport prediction problems
Filipe Rodrigues
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199
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Unboxing the graph: Neural Relational Inference for Mobility Prediction
Unboxing the graph: Neural Relational Inference for Mobility Prediction
M. Tygesen
Francisco Câmara Pereira
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140
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A Comparative Study of Using Spatial-Temporal Graph Convolutional
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Graph Neural Network for Traffic Forecasting: A Survey
Graph Neural Network for Traffic Forecasting: A SurveyExpert systems with applications (ESWA), 2021
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