Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

15 December 2020

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

50 / 175 papers shown

Title
NetSight: Graph Attention Based Traffic Forecasting in Computer Networks Jinming Xing Guoheng Sun Hui Sun Linchao Pan Shakir Mahmood Xuanhao Luo Muhammad Shahzad 36 0 0 11 May 2025
Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume Silke K. Kaiser Filipe Rodrigues Carlos Lima Azevedo Lynn H. Kaack AI4TS GNN 29 0 0 07 May 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 34 0 0 23 Apr 2025
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
DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation Munib Mesinovic Soheila Molaei Peter Watkinson Tingting Zhu AI4TS 38 0 0 28 Mar 2025
Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM Xin Xue Haoyi Zhou Tianyu Chen Shuai Zhang Yizhou Long Jianxin Li AI4TS 51 0 0 23 Mar 2025
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction Weiyang Kong Kaiqi Wu Sen Zhang Yubao Liu AI4TS GNN 80 0 0 27 Feb 2025
SUSTeR: Sparse Unstructured Spatio Temporal Reconstruction on Traffic Prediction Yannick Wölker Christian Beth Matthias Renz Arne Biastoch AI4TS 44 1 0 24 Feb 2025
Efficient Traffic Prediction Through Spatio-Temporal Distillation Qianru Zhang Xinyi Gao Haixin Wang Siu-Ming Yiu Hongzhi Yin AI4TS 42 2 0 15 Jan 2025
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours Yuxin Yang Hongkuan Zhou Rajgopal Kannan Viktor Prasanna 46 0 0 31 Dec 2024
STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction Yufei Guo Zehua Peng Yijia Zhang Dengbo He Lei Chen 39 0 0 23 Dec 2024
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Chaoqun Liu Xuanpeng Li Chen Gong Guangyu Li 72 0 0 19 Dec 2024
Embracing Large Language Models in Traffic Flow Forecasting Yusheng Zhao Xiao Luo Haomin Wen Zhiping Xiao Wei Ju Ming Zhang AI4TS 78 0 0 15 Dec 2024
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data Zhenyu Lei Yushun Dong Jundong Li Chen Chen AI4TS 80 0 0 14 Dec 2024
Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention Xiangyu Jiang Xiwen Chen Hao Wang Abolfazl Razi 68 0 0 03 Dec 2024
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 77 0 0 27 Nov 2024
Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs Zhaobin Mo Qingyuan Liu Baohua Yan Longxiang Zhang Xuan Di 71 1 0 25 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 47 2 0 28 Oct 2024
Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations Xiannan Huang Chao Yang Quan Yuan AI4TS 27 0 0 16 Oct 2024
Graph Masked Autoencoder for Spatio-Temporal Graph Learning Qianru Zhang Haixin Wang Siu-Ming Yiu Hongzhi Yin AI4TS 39 1 0 14 Oct 2024
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
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
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting Tengfei Lyu Weijia Zhang Jinliang Deng Hao Liu AI4TS 27 0 0 25 Sep 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 Sakhinana Sagar Srinivas Chidaksh Ravuru Geethan Sannidhi Venkataramana Runkana AI4TS 30 0 0 26 Aug 2024
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology Sagar Srinivas Sakhinana Krishna Sai Sudhir Aripirala Shivam Gupta Venkataramana Runkana 35 0 0 22 Aug 2024
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 38 0 0 22 Aug 2024
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting Zibo Liu Zhe Jiang Shigang Chen AI4TS 32 0 0 12 Aug 2024
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure Peng Yuan Peng Tang 41 1 0 09 Aug 2024
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
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation Jiaxing Zhang Jiayi Liu Dongsheng Luo Jennifer Neville Hua Wei 35 2 0 22 Jul 2024
Physics-guided Active Sample Reweighting for Urban Flow Prediction Wei Jiang Tong Chen Guanhua Ye Wentao Zhang Lizhen Cui Zi Huang Hongzhi Yin AI4TS AI4CE 29 5 0 18 Jul 2024
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks Zhenhua Huang Kunhao Li Shaojie Wang Zhaohong Jia Wentao Zhu Sharad Mehrotra GNN 41 0 0 16 Jul 2024
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts Moritz Feik Sebastian Lerch Jan Stühmer 21 0 0 08 Jul 2024
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery Lingbai Kong Wengen Li Hanchen Yang Yichao Zhang Jihong Guan Shuigeng Zhou CML AI4TS 37 0 0 24 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 51 3 0 19 Jun 2024
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework Jiaqi Lin Qianqian Ren ViT AI4TS 42 1 0 17 Jun 2024
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
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 Sanghyun Lee Chanyoung Park AI4TS 46 0 0 04 Jun 2024
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting Zhanyu Liu Jianrong Ding Guanjie Zheng AI4TS 24 2 0 03 Jun 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs Zhiheng Zhou Sihao Liu Weichen Zhao 41 0 0 30 May 2024
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction Zhonghang Li Lianghao Xia Yong-mei Xu Chao Huang OOD AI4TS 55 11 0 28 May 2024
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 50 11 0 17 May 2024
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks QingGuo Qi Hongyang Chen Minhao Cheng Han Liu 35 0 0 11 May 2024
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 44 31 0 23 Apr 2024
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting Songtao Huang Hongjin Song Tianqi Jiang A. Telikani Jun Shen Qingguo Zhou Binbin Yong Qiang Wu AI4TS 19 0 0 18 Apr 2024
SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Prediction Wenfeng Zhang Xin Li Anqi Li Xiaoting Huang Ti Wang Honglei Gao AI4TS 43 1 0 18 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach Qing Liu Sheng Sun Keli Zhang Jingjing Xue Min Liu AI4TS 32 2 0 04 Apr 2024
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model Zhiqi Shao Michael G. H. Bell Ze Wang Glenn Geers Xusheng Yao Junbin Gao 32 4 0 26 Mar 2024
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline Shuhao Li Yue Cui Jingyi Xu Libin Li Lingkai Meng Weidong Yang Fan Zhang Xiaofang Zhou AI4TS 29 1 0 22 Mar 2024