Image de couverture de livre

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Turner, Edward
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
par: Chowdhury, Koyena, et autres
Publié: (2025)

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting
par: Dai, Ben-Ao, et autres
Publié: (2025)

Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
par: Bilal, Muhammad, et autres
Publié: (2025)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
par: Dong, Pingping, et autres
Publié: (2024)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
par: Zhang, Weijia, et autres
Publié: (2023)

Riemannian Liquid Spatio-Temporal Graph Network
par: Lu, Liangsi, et autres
Publié: (2026)

STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks
par: Kang, Sungwoo
Publié: (2026)

DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting
par: Cui, Wanna, et autres
Publié: (2025)

Spatio-Temporal Graph Unlearning
par: Guo, Qiming, et autres
Publié: (2025)

Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
par: Bastos, Anson, et autres
Publié: (2024)

Spatio-Temporal Graph Convolutional Networks for EV Charging Demand Forecasting Using Real-World Multi-Modal Data Integration
par: Tupayachi, Jose, et autres
Publié: (2025)

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
par: Huang, Zhixin, et autres
Publié: (2024)

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

Spatio-Temporal Graph Structure Learning for Earthquake Detection
par: Piriyasatit, Suchanun, et autres
Publié: (2025)

Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data
par: Ashman, Matthew, et autres
Publié: (2024)

Hybrid Quantum Temporal Convolutional Networks
par: Park, Junghoon Justin, et autres
Publié: (2026)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
par: Wu, Liming, et autres
Publié: (2024)

VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting
par: Xiong, Yutong, et autres
Publié: (2024)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
par: Tew, Hwa Hui, et autres
Publié: (2025)

THeGCN: Temporal Heterophilic Graph Convolutional Network
par: Yan, Yuchen, et autres
Publié: (2024)

Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
par: Liu, Yuxuan, et autres
Publié: (2026)

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

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

Prompt-Based Spatio-Temporal Graph Transfer Learning
par: Hu, Junfeng, et autres
Publié: (2024)

Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
par: Koistinen, Kosti, et autres
Publié: (2026)

Progressive Scale Convolutional Network for Spatio-Temporal Downscaling of Soil Moisture: A Case Study Over the Tibetan Plateau
par: Zhou, Ziyu, et autres
Publié: (2025)

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
par: Ghaffari, Amirhossein, et autres
Publié: (2025)

A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
par: Zheng, Jiankai, et autres
Publié: (2025)

IMBWatch -- a Spatio-Temporal Graph Neural Network approach to detect Illicit Massage Business
par: Varadarajan, Swetha, et autres
Publié: (2025)

Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
par: Mostafa, Abeer, et autres
Publié: (2026)

Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network
par: Moallemy-Oureh, Alice, et autres
Publié: (2022)

Spatio-Temporal Directed Graph Learning for Account Takeover Fraud Detection
par: Kerdabadi, Mohsen Nayebi, et autres
Publié: (2025)

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

Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
par: Liu, Yilin, et autres
Publié: (2026)

Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning
par: Hu, Junfeng, et autres
Publié: (2023)

Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning
par: Ji, Jiahao, et autres
Publié: (2023)

Clustering Time-Evolving Networks Using the Spatio-Temporal Graph Laplacian
par: Trower, Maia, et autres
Publié: (2024)

A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery
par: Xu, Faming, et autres
Publié: (2025)

Temporal Motif Signatures for Temporal Graph Neural Networks
par: Sandfelder, Dylan, et autres
Publié: (2026)

Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume
par: Kaiser, Silke K., et autres
Publié: (2025)