Image de couverture de livre

Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lin, Zhenan, Lai, Yuni, Lo, Wai Lun, Hsung, Richard Tai-Chiu, Tsang, Harris Sik-Ho, Xue, Xiaoyu, Zhou, Kai, Zhu, Yulin
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language Models
par: Zhang, Jianbin, et autres
Publié: (2025)

Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models
par: Xue, Xiaoyu, et autres
Publié: (2025)

STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
par: Liang, Zhuding, et autres
Publié: (2025)

Towards Robust Graph Structural Learning Beyond Homophily via Preserving Neighbor Similarity
par: Zhu, Yulin, et autres
Publié: (2024)

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
par: Guo, Pengxin, et autres
Publié: (2024)

Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
par: Liu, Aoyu, et autres
Publié: (2022)

PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
par: Shin, Yuyol, et autres
Publié: (2022)

A Multi-Channel Spatial-Temporal Transformer Model for Traffic Flow Forecasting
par: Xiao, Jianli, et autres
Publié: (2024)

Continuous Lower Limb Multi‐Intent Prediction for Electromyography‐Driven Intrinsic and Extrinsic Control
par: Jiaqi Xue, et autres
Publié: (2024)

Graph and Skipped Transformer: Exploiting Spatial and Temporal Modeling Capacities for Efficient 3D Human Pose Estimation
par: Cui, Mengmeng, et autres
Publié: (2024)

Black-Box Attacks against Signed Graph Analysis via Balance Poisoning
par: Zhou, Jialong, et autres
Publié: (2023)

Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models
par: Yang, Xiao, et autres
Publié: (2024)

Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-Temporal Graph Learning Method for Traffic Flow Forecasting
par: Wang, Feng, et autres
Publié: (2025)

Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction
par: Xu, Xiao, et autres
Publié: (2023)

AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks
par: Lai, Yuni, et autres
Publié: (2025)

Diagnosis and management of Rosai–Dorfman disease of the breast: Case report and literature review
par: Jessman King Lun Lo, et autres
Publié: (2024)

Collective Certified Robustness against Graph Injection Attacks
par: Lai, Yuni, et autres
Publié: (2024)

Adaptive and Dynamic Spatio‐Temporal Network for Traffic Flow Forecasting
par: Ying Xing, et autres
Publié: (2025)

Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles
par: Xue, Jianzhe, et autres
Publié: (2024)

ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery using Limited Data
par: Yuan, Doncheng, et autres
Publié: (2024)

STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
par: Zhao, Zhengyang, et autres
Publié: (2024)

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
par: Lee, Sanghyun, et autres
Publié: (2024)

Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention
par: Jakhmola, Yash, et autres
Publié: (2024)

Urban Traffic Flow Forecasting Based on Graph Structure Learning
par: Guangyu Huo, et autres
Publié: (2024)

EventFlow: Forecasting Temporal Point Processes with Flow Matching
par: Kerrigan, Gavin, et autres
Publié: (2024)

Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction
par: Liu, Haiyang, et autres
Publié: (2024)

Provably Robust Adaptation for Language-Empowered Foundation Models
par: Lai, Yuni, et autres
Publié: (2025)

Capturing Complex Spatial-Temporal Dependencies in Traffic Forecasting: A Self-Attention Approach
par: Chenghong, Zheng, et autres
Publié: (2025)

Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
par: Izadi, Mohammad, et autres
Publié: (2024)

DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting
par: Huang, Songtao, et autres
Publié: (2024)

Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
par: Zhou, Jianxiang, et autres
Publié: (2024)

TPST : A Traffic Flow Prediction Model Based on Spatial–Temporal Identity
par: Yuchen Hou, et autres
Publié: (2025)

Graph Convolutional Network With Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting
par: Ji, Xinyu, et autres
Publié: (2025)

TrainBo: An Interactive Robot-assisted Scenario Training System for Older Adults with Dementia
par: Fung, Kwong Chiu, et autres
Publié: (2025)

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting
par: Ruan, Weilin, et autres
Publié: (2024)

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
par: Luo, Xunlian, et autres
Publié: (2023)

STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
par: Bhaumik, Kishor Kumar, et autres
Publié: (2022)

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting
par: Xia, Yuwei, et autres
Publié: (2024)

Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Framework
par: Liu, Mu, et autres
Publié: (2024)

Risk factors of nipple‐areolar complex necrosis on nipple‐sparing mastectomy: A single‐centre experience
par: King Lun Jessman Lo, et autres
Publié: (2026)