:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ning, Xinyu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2408.09158
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
by: Zhao, Zhengyang, et al.
Published: (2024)

STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
by: Liang, Zhuding, et al.
Published: (2025)

Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal Networks
by: Ao, Xiang, et al.
Published: (2026)

Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
by: Zhang, Tianya
Published: (2022)

Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
by: Li, Zan, et al.
Published: (2025)

Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
by: Xie, Zixuan, et al.
Published: (2025)

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
by: Lei, Zhenyu, et al.
Published: (2024)

Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)

SpikeSTAG: Spatial-Temporal Forecasting via GNN-SNN Collaboration
by: Hu, Bang, et al.
Published: (2025)

No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
by: Li, Yubo, et al.
Published: (2025)

LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention
by: Khosravi, Hamed, et al.
Published: (2025)

From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
by: Veluru, Suhasnadh Reddy, et al.
Published: (2026)

Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
by: Lu, Jiecheng, et al.
Published: (2025)

Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting
by: Lin, Zhenan, et al.
Published: (2025)

Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles
by: Xue, Jianzhe, et al.
Published: (2024)

D-FaST: Cognitive Signal Decoding with Disentangled Frequency-Spatial-Temporal Attention
by: Chen, Weiguo, et al.
Published: (2024)

Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting
by: Yan, Wenbo, et al.
Published: (2024)

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)

SEED: Spectral Entropy-Guided Evaluation of SpatialTemporal Dependencies for Multivariate Time Series Forecasting
by: Xiong, Feng, et al.
Published: (2025)

Individualized and Interpretable Sleep Forecasting via a Two-Stage Adaptive Spatial-Temporal Model
by: Wang, Xueyi, et al.
Published: (2025)

A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting
by: Moges, Henok Tenaw, et al.
Published: (2025)

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
by: Guo, Pengxin, et al.
Published: (2024)

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
by: Chen, Xingsheng, et al.
Published: (2026)

Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture
by: Pandey, Malay, et al.
Published: (2024)

Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
by: Zhang, Zhiwei, et al.
Published: (2024)

Exact Linear Attention
by: Ou, Weinuo
Published: (2026)

Kaczmarz Linear Attention
by: Zou, Jiaxuan, et al.
Published: (2026)

Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation
by: Li, Guangqiang, et al.
Published: (2025)

Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression
by: Zuo, Yifei, et al.
Published: (2025)

Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention
by: Hu, Wenjie, et al.
Published: (2025)

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
by: Zhou, Fan, et al.
Published: (2024)

STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
by: Huang, YiHeng, et al.
Published: (2024)

DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
by: Yi, Jinhui, et al.
Published: (2025)

ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting
by: Wu, Binqing, et al.
Published: (2025)

FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts
by: Zhao, Yiji, et al.
Published: (2026)

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
by: Yu, Shaohan, et al.
Published: (2024)

CATS-Linear: Classification Auxiliary Linear Model for Time Series Forecasting
by: Jibao, Zipo, et al.
Published: (2025)

Screening Is Enough
by: Nakanishi, Ken M.
Published: (2026)

Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)

Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)