Cover Image

STRelay: A Universal Spatio-Temporal Relaying Framework for Location Prediction over Human Trajectory Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deng, Bangchao, Ji, Lianhua, Chen, Chunhua, Jing, Xin, Ding, Ling, QU, Bingqing, Wang, Pengyang, Yang, Dingqi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories
by: Deng, Bangchao, et al.
Published: (2024)

Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus
by: Deng, Bangchao, et al.
Published: (2024)

On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction
by: Jing, Xin, et al.
Published: (2024)

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
by: Jing, Xin, et al.
Published: (2024)

Beyond Regularity: Modeling Chaotic Mobility Patterns for Next Location Prediction
by: Wu, Yuqian, et al.
Published: (2025)

THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs
by: Yu, Weijian, et al.
Published: (2026)

Geschichtsphilosophie als Literatur
by: He, Lianhua
Published: (2024)

MIAT: Maneuver-Intention-Aware Transformer for Spatio-Temporal Trajectory Prediction
by: Raskoti, Chandra, et al.
Published: (2025)

Code for MetaRare
by: LIU, Jianfa, et al.
Published: (2026)

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
by: Yuan, Yuan, et al.
Published: (2024)

An Improved Data‐Driven Spatio‐Temporal Downscaling Framework for Photovoltaic Power Prediction
by: Jia Wen Li, et al.
Published: (2026)

Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
by: Zhou, Yicheng, et al.
Published: (2024)

Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction
by: Liu, Yanjiao, et al.
Published: (2026)

STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model
by: Wenzhe, Jin, et al.
Published: (2025)

Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning
by: Farajzadeh, Amin, et al.
Published: (2025)

Spatio-Temporal Conformal Prediction for Power Outage Data
by: Jiang, Hanyang, et al.
Published: (2024)

Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations
by: Salis, Matteo, et al.
Published: (2026)

EasyST: A Simple Framework for Spatio-Temporal Prediction
by: Tang, Jiabin, et al.
Published: (2024)

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
by: Xin, Weilin, et al.
Published: (2025)

Predicted Liquid Carbon States Via The Nightingale Equation: Validation Through Ultrafast Laser Fusion Experimentation
by: Nightingale, Alannah, et al.
Published: (2025)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
by: Miao, Hao, et al.
Published: (2024)

Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
by: Lin, ChungYi, et al.
Published: (2024)

Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records
by: Liu, Bingqing
Published: (2024)

Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning
by: Liu, Bingqing
Published: (2024)

Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning
by: Ji, Jiahao, et al.
Published: (2023)

Spatio-Temporal Branching for Motion Prediction using Motion Increments
by: Wang, Jiexin, et al.
Published: (2023)

Temporal Reversal Regularization for Spiking Neural Networks: Hybrid Spatio-Temporal Invariance for Generalization
by: Zuo, Lin, et al.
Published: (2024)

RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
by: Ruan, Weilin, et al.
Published: (2025)

DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework
by: Wang, Xintong, et al.
Published: (2025)

SOTFormer: A Minimal Transformer for Unified Object Tracking and Trajectory Prediction
by: Dong, Zhongping, et al.
Published: (2025)

Advances and Prospects of Selective Electrocatalytic Upgrading of 5‐Hydroxymethylfurfural to Furan‐2,5‐Dicarboxylic Acid
by: Lianhua Chen, et al.
Published: (2025)

From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper
by: Li, Ling, et al.
Published: (2026)

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction
by: Wang, Jiexin, et al.
Published: (2024)

Long-Term Human Motion Prediction Using Spatio-Temporal Maps of Dynamics
by: Zhu, Yufei, et al.
Published: (2025)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)

Electrophysiological Evidence for Dynamic Temporal Priors From Neural Signatures of Temporal Prediction Errors
by: Youguo Chen, et al.
Published: (2026)

Spatio-Temporal Network for ENSO Prediction
by: Hu, Changhong
Published: (2025)

System States Forecasting of Microservices with Dynamic Spatio-Temporal Data
by: Xu, Yifei, et al.
Published: (2024)

Integrating Molecular Dynamics Simulations and Experimental Data for Azeotrope Predictions in Binary Mixtures
by: Wang, Xiaoyu, et al.
Published: (2024)

Spatial-Temporal Conditional Random Field for Human Trajectory Prediction
by: Han, Pengqian, et al.
Published: (2023)