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Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting

24 June 2021
Zheng Fang
Qingqing Long
Guojie Song
Kunqing Xie
    AI4TS
ArXivPDFHTML

Papers citing "Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting"

50 / 136 papers shown
Title
Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention
Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention
Osama Ahmad
Zubair Khalid
3DPC
38
0
0
09 Apr 2025
MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling
MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling
Ronghui Zhang
Wenbin Xing
Mengran Li
Zihan Wang
Junzhou Chen
Xiaolei Ma
Zhiyuan Liu
Zhengbing He
AI4TS
26
0
0
08 Apr 2025
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
Shuai Han
Lukas Stelz
Thomas R. Sokolowski
K. Zhou
H. Stocker
26
0
0
07 Apr 2025
FlowDistill: Scalable Traffic Flow Prediction via Distillation from LLMs
FlowDistill: Scalable Traffic Flow Prediction via Distillation from LLMs
Chenyang Yu
Xinpeng Xie
Yan Huang
Chenxi Qiu
AI4TS
35
0
0
02 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Z. Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei-dong Jin
AI4TS
AI4CE
143
1
0
29 Mar 2025
A Compact Model for Large-Scale Time Series Forecasting
A Compact Model for Large-Scale Time Series Forecasting
Chin-Chia Michael Yeh
Xiran Fan
Zhimeng Jiang
Yujie Fan
Huiyuan Chen
...
Xin Dai
J. Wang
Zhongfang Zhuang
Liang Wang
Yan Zheng
AI4TS
38
0
0
28 Feb 2025
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
Weiyang Kong
Kaiqi Wu
Sen Zhang
Yubao Liu
AI4TS
GNN
78
0
0
27 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
61
0
0
17 Feb 2025
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
Lingxiao Cao
Bin Wang
Guiyuan Jiang
Yanwei Yu
Junyu Dong
AI4TS
73
1
0
17 Feb 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han
Jingyuan Wang
Y. Wang
Xie Yu
Hao Lin
Chao Li
Junjie Wu
AI4TS
50
1
0
08 Feb 2025
Dynamic Trend Fusion Module for Traffic Flow Prediction
Dynamic Trend Fusion Module for Traffic Flow Prediction
Jing Chen
Haocheng Ye
Zhian Ying
Yuntao Sun
Wenqiang Xu
AI4TS
42
6
0
18 Jan 2025
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Qianru Zhang
Xinyi Gao
Haixin Wang
S. Yiu
Hongzhi Yin
AI4TS
37
2
0
15 Jan 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
FairTP: A Prolonged Fairness Framework for Traffic Prediction
FairTP: A Prolonged Fairness Framework for Traffic Prediction
Jiangnan Xia
Yu Yang
Jiaxing Shen
Senzhang Wang
Jiannong Cao
AI4TS
87
0
0
18 Dec 2024
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training
  Data
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
Zhenyu Lei
Yushun Dong
Jundong Li
Chen Chen
AI4TS
75
0
0
14 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
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
Shaohan Yu
Pan Deng
Yu Zhao
J. Liu
Ziáng Wang
MoE
170
0
0
30 Nov 2024
DualCast: Disentangling Aperiodic Events from Traffic Series with a
  Dual-Branch Model
DualCast: Disentangling Aperiodic Events from Traffic Series with a Dual-Branch Model
Xinyu Su
Feng Liu
Yanchuan Chang
E. Tanin
Majid Sarvi
Jianzhong Qi
AI4TS
72
0
0
27 Nov 2024
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors
  for Extra-Long-Term Traffic Forecasting
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
Zhiwei Zhang
Shaojun E
Fandong Meng
Jie Zhou
Wenjuan Han
36
0
0
30 Oct 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
22
0
0
16 Oct 2024
Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Qianru Zhang
Haixin Wang
S. Yiu
Hongzhi Yin
AI4TS
26
1
0
14 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
39
0
0
12 Oct 2024
Evaluating the Generalization Ability of Spatiotemporal Model in Urban
  Scenario
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario
Hongjun Wang
Jiyuan Chen
Tong Pan
Zheng Dong
Lingyu Zhang
Renhe Jiang
Xuan Song
OOD
76
2
0
07 Oct 2024
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
Xiao Lin
Zhining Liu
Dongqi Fu
Ruizhong Qiu
Hanghang Tong
AAML
AI4TS
51
5
0
03 Oct 2024
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic
  Forecasting
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
Hongjun Wang
Jiyuan Chen
Tong Pan
Zheng Dong
Lingyu Zhang
Renhe Jiang
Xuan Song
AI4TS
GNN
42
0
0
01 Oct 2024
Robust Traffic Forecasting against Spatial Shift over Years
Robust Traffic Forecasting against Spatial Shift over Years
Hongjun Wang
Jiyuan Chen
Tong Pan
Zheng Dong
Lingyu Zhang
Renhe Jiang
Xuan Song
AI4TS
OOD
28
0
0
01 Oct 2024
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan
Zewen Liu
Max S. Y. Lau
B. A. Prakash
Wei Jin
81
7
0
28 Sep 2024
GINTRIP: Interpretable Temporal Graph Regression using Information
  bottleneck and Prototype-based method
GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method
Ali Royat
Seyed Mohamad Moghadas
Lesley De Cruz
Adrian Munteanu
26
0
0
17 Sep 2024
EasyST: A Simple Framework for Spatio-Temporal Prediction
EasyST: A Simple Framework for Spatio-Temporal Prediction
J. Tang
Wei Wei
Lianghao Xia
Chao Huang
49
1
0
10 Sep 2024
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal
  Traffic Forecasting
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Osama Ahmad
Zubair Khalid
GNN
AI4TS
24
1
0
29 Aug 2024
Reprogramming Foundational Large Language Models(LLMs) for Enterprise
  Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in
  Copilot-Guided Cross-Modal Time Series Representation Learning
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
AI4TS
30
0
0
26 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
39
0
0
26 Aug 2024
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in
  Digital Twin Technology
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
Sagar Srinivas Sakhinana
Krishna Sai Sudhir Aripirala
Shivam Gupta
Venkataramana Runkana
27
0
0
22 Aug 2024
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series
  Representation Learning
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
Sagar Srinivas Sakhinana
Krishna Sai Sudhir Aripirala
Shivam Gupta
Venkataramana Runkana
BDL
AI4TS
AI4CE
35
0
0
22 Aug 2024
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
Zhonghang Li
Long Xia
Lei Shi
Yong-mei Xu
Dawei Yin
Chao Huang
VLM
AI4TS
AI4CE
38
7
0
16 Aug 2024
Multi-View Neural Differential Equations for Continuous-Time Stream Data
  in Long-Term Traffic Forecasting
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
Zibo Liu
Zhe Jiang
Shigang Chen
AI4TS
29
0
0
12 Aug 2024
Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic
  Assignment
Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment
Tong Liu
Hadi Meidani
AI4TS
16
1
0
07 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
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability
  and More
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More
Xiaochuan Gou
Ziyue Li
Tian-Shing Lan
Junpeng Lin
Zhishuai Li
Bingyu Zhao
Chen Zhang
Di Wang
Xiangliang Zhang
AI4TS
49
1
0
16 Jul 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal
  Structural Behavior
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior
Melanie Schaller
Daniel Schlor
Andreas Hotho
23
3
0
28 Jun 2024
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
Du Yin
Hao Xue
Arian Prabowo
Shuang Ao
Flora Salim
AI4TS
29
0
0
18 Jun 2024
Rethinking Spatio-Temporal Transformer for Traffic
  Prediction:Multi-level Multi-view Augmented Learning Framework
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
Jiaqi Lin
Qianqian Ren
ViT
AI4TS
34
0
0
17 Jun 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
Pre-Training Identification of Graph Winning Tickets in Adaptive
  Spatial-Temporal Graph Neural Networks
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
Wenying Duan
Tianxiang Fang
Hong Rao
Xiaoxi He
48
0
0
12 Jun 2024
Continual Traffic Forecasting via Mixture of Experts
Continual Traffic Forecasting via Mixture of Experts
Sanghyun Lee
Chanyoung Park
CLL
49
3
0
05 Jun 2024
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Sanghyun Lee
Chanyoung Park
AI4TS
44
0
0
04 Jun 2024
Predicting Parking Availability in Singapore with Cross-Domain Data: A
  New Dataset and A Data-Driven Approach
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
Huaiwu Zhang
Yutong Xia
Siru Zhong
Kun Wang
Zekun Tong
Qingsong Wen
Roger Zimmermann
Yuxuan Liang
28
0
0
29 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
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time
  Series Forecasting
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
Zheng Dong
Renhe Jiang
Haotian Gao
Hangchen Liu
Jinliang Deng
Qingsong Wen
Xuan Song
AI4TS
45
11
0
17 May 2024
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal
  Prediction on Streaming Data
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Hao Miao
Yan Zhao
Chenjuan Guo
Bin Yang
Kai Zheng
Feiteng Huang
Jiandong Xie
Christian S. Jensen
AI4TS
CLL
42
30
0
23 Apr 2024
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