Imagen de Portada

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shang, Zongjiang, Chen, Ling, wu, Binqing, Cui, Dongliang
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
por: Shang, Zongjiang, et al.
Publicado: (2024)

MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting
por: Wu, Binqing, et al.
Publicado: (2025)

Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis
por: Shang, Zongjiang, et al.
Publicado: (2026)

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

AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
por: Wu, Binqing, et al.
Publicado: (2026)

AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
por: Zhang, Huanyao, et al.
Publicado: (2025)

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
por: Qiu, Xiangfei, et al.
Publicado: (2025)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
por: Chen, Peng, et al.
Publicado: (2024)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
por: Hu, Yifan, et al.
Publicado: (2024)

Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
por: Wang, Shuai, et al.
Publicado: (2024)

Ada-MoGE: Adaptive Mixture of Gaussian Expert Model for Time Series Forecasting
por: Ni, Zhenliang, et al.
Publicado: (2025)

AWGformer: Adaptive Wavelet-Guided Transformer for Multi-Resolution Time Series Forecasting
por: Li, Wei
Publicado: (2026)

SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
por: Xu, Xiongxiao, et al.
Publicado: (2024)

MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting
por: Du, Linfeng, et al.
Publicado: (2023)

AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
por: Yu, Han, et al.
Publicado: (2024)

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
por: Benechehab, Abdelhakim, et al.
Publicado: (2025)

HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
por: Chen, Ling, et al.
Publicado: (2021)

AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs
por: Dang, Ting, et al.
Publicado: (2026)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
por: Cao, Fanpu, et al.
Publicado: (2024)

S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting
por: Wu, Zihao, et al.
Publicado: (2025)

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
por: Li, Boyuan, et al.
Publicado: (2025)

TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting
por: Kong, Linghang, et al.
Publicado: (2024)

Multi-resolution Time-Series Transformer for Long-term Forecasting
por: Zhang, Yitian, et al.
Publicado: (2023)

Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
por: Atashgahi, Zahra, et al.
Publicado: (2023)

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts
por: Qin, Dalin, et al.
Publicado: (2024)

MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
por: Cai, Wanlin, et al.
Publicado: (2023)

Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting
por: Zhou, Ziyu, et al.
Publicado: (2025)

Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
por: Zhang, Yifan, et al.
Publicado: (2023)

DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting
por: Ding, Ruixin, et al.
Publicado: (2024)

Multi-variable Adversarial Time-Series Forecast Model
por: Chen, Xiaoqiao
Publicado: (2024)

Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online
por: Szabadváry, Johan Hallberg
Publicado: (2024)

Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives?
por: Chakraborty, Sanjay, et al.
Publicado: (2025)

Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting
por: Villaboni, Davide, et al.
Publicado: (2025)

IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
por: Harkati, Aymane, et al.
Publicado: (2026)

Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting
por: Li, Boyuan, et al.
Publicado: (2026)

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
por: Liu, Yong, et al.
Publicado: (2023)

Scaling Law for Time Series Forecasting
por: Shi, Jingzhe, et al.
Publicado: (2024)

Does Scaling Law Apply in Time Series Forecasting?
por: Li, Zeyan, et al.
Publicado: (2025)

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
por: Zhang, Boya, et al.
Publicado: (2026)

ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
por: Ye, Hengyu, et al.
Publicado: (2024)