Imagen de Portada

STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wenzhe, Jin, Haina, Tang, Xudong, Zhang
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting
por: Zhang, Xudong, et al.
Publicado: (2026)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
por: Yang, Yiyuan, et al.
Publicado: (2024)

A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization
por: He, Shan, et al.
Publicado: (2025)

Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation
por: Zhang, Rui, et al.
Publicado: (2024)

Spatio-Temporal Graph Unlearning
por: Guo, Qiming, et al.
Publicado: (2025)

Spatio-Temporal Trajectory Foundation Model - Recent Advances and Future Directions
por: Yang, Sean Bin, et al.
Publicado: (2025)

Spatio-Temporal Graph Neural Networks for Infant Language Acquisition Prediction
por: Roxburgh, Andrew, et al.
Publicado: (2025)

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

UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction
por: Qu, Kehua, et al.
Publicado: (2024)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
por: Dong, Pingping, et al.
Publicado: (2024)

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
por: Ghaffari, Amirhossein, et al.
Publicado: (2025)

Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth
por: Laslo, Daria, et al.
Publicado: (2025)

GraFSTNet: Graph-based Frequency SpatioTemporal Network for Cellular Traffic Prediction
por: Li, Ziyi, et al.
Publicado: (2026)

STRelay: A Universal Spatio-Temporal Relaying Framework for Location Prediction over Human Trajectory Data
por: Deng, Bangchao, et al.
Publicado: (2025)

SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
por: Zou, Xiaobei, et al.
Publicado: (2023)

WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory
por: Kim, Jin Sob, et al.
Publicado: (2025)

SST-GCN: The Sequential based Spatio-Temporal Graph Convolutional networks for Minute-level and Road-level Traffic Accident Risk Prediction
por: Kim, Tae-wook, et al.
Publicado: (2024)

STARN-GAT: A Multi-Modal Spatio-Temporal Graph Attention Network for Accident Severity Prediction
por: Nobin, Pritom Ray, et al.
Publicado: (2025)

Riemannian Liquid Spatio-Temporal Graph Network
por: Lu, Liangsi, et al.
Publicado: (2026)

SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
por: Gan, Linyong, et al.
Publicado: (2026)

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics
por: Schestakov, Stefan, et al.
Publicado: (2024)

RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
por: Chowdhury, Koyena, et al.
Publicado: (2025)

Cognitive-Aligned Spatio-Temporal Large Language Models For Next Point-of-Interest Prediction
por: Zhai, Penglong, et al.
Publicado: (2025)

A Spatio-temporal Graph Network Allowing Incomplete Trajectory Input for Pedestrian Trajectory Prediction
por: Long, Juncen, et al.
Publicado: (2025)

Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
por: Yang, Sunwoong, et al.
Publicado: (2024)

Uniform Inductive Spatio-Temporal Kriging
por: Xie, Lewei, et al.
Publicado: (2026)

Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
por: Sun, Tian, et al.
Publicado: (2025)

Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks
por: Bhat, Rabia Latief, et al.
Publicado: (2025)

Prompt-Based Spatio-Temporal Graph Transfer Learning
por: Hu, Junfeng, et al.
Publicado: (2024)

AdaSTI: Conditional Diffusion Models with Adaptive Dependency Modeling for Spatio-Temporal Imputation
por: Yang, Yubo, et al.
Publicado: (2025)

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

Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting
por: Spadon, Gabriel, et al.
Publicado: (2023)

A Spatio-Temporal Hybrid Quantum-Classical Graph Convolutional Neural Network Approach for Urban Taxi Destination Prediction
por: Zhang, Xiuying, et al.
Publicado: (2025)

Deformable Dynamic Convolution for Accurate yet Efficient Spatio-Temporal Traffic Prediction
por: Jin, Hyeonseok, et al.
Publicado: (2025)

Trajectory Encoding Temporal Graph Networks
por: Xiong, Jiafeng, et al.
Publicado: (2025)

VISTA: Knowledge-Driven Vessel Trajectory Imputation with Repair Provenance
por: Liu, Hengyu, et al.
Publicado: (2026)

A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction
por: Yu, Haomin, et al.
Publicado: (2025)

Open-Vocabulary Spatio-Temporal Scene Graph for Robot Perception and Teleoperation Planning
por: Wang, Yi, et al.
Publicado: (2025)

Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graph
por: Vishwakarma, Akash, et al.
Publicado: (2025)

DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting
por: Huang, Songtao, et al.
Publicado: (2024)