Cover Image

DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Qinshuo, Fang, Yanwen, Jiang, Pengtao, Li, Guodong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
by: Liu, Qinshuo, et al.
Published: (2025)

Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks
by: Fang, Yong, et al.
Published: (2025)

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
by: Jiang, Yue, et al.
Published: (2024)

TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
by: Liang, Shuang, et al.
Published: (2025)

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
by: Yu, Yongbo, et al.
Published: (2024)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2024)

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)

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

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)

ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
by: Cai, Wanlin, et al.
Published: (2024)

Deep Coupling Network For Multivariate Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)

FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
by: He, Peng, et al.
Published: (2026)

Stationarity Exploration for Multivariate Time Series Forecasting
by: Liu, Hao, et al.
Published: (2025)

Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform
by: Koren, Noam, et al.
Published: (2024)

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

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2025)

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
by: Niu, Yiming, et al.
Published: (2025)

MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
by: Han, Wenyong, et al.
Published: (2024)

Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
by: Cakiroglu, Mert Onur, et al.
Published: (2025)

Beyond Holistic Models: Systematic Component-level Benchmarking of Deep Multivariate Time-Series Forecasting
by: Liang, Shuang, et al.
Published: (2026)

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting
by: Liu, Xvyuan, et al.
Published: (2025)

Structural Knowledge Informed Continual Multivariate Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)

Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting
by: Zhang, Yifan, et al.
Published: (2023)

Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
by: Liu, Zibo, et al.
Published: (2025)

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)

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

Transformer Multivariate Forecasting: Less is More?
by: Xu, Jingjing, et al.
Published: (2023)

Graph Deep Learning for Time Series Forecasting
by: Cini, Andrea, et al.
Published: (2023)

Multivariate Probabilistic Time Series Forecasting with Correlated Errors
by: Zheng, Vincent Zhihao, et al.
Published: (2024)

HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting
by: Choi, Jung Min, et al.
Published: (2026)

Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2026)

Probabilistic Multivariate Time Series Forecasting with Diffusion Copulas
by: Huk, David, et al.
Published: (2026)

Channel-wise Retrieval for Multivariate Time Series Forecasting
by: Kang, Junhyeok, et al.
Published: (2026)

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
by: Wang, Muyao, et al.
Published: (2024)

Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting
by: Kim, Younghwi, et al.
Published: (2024)

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
by: Han, Lu, et al.
Published: (2024)

Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2024)

Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels
by: You, Jiang, et al.
Published: (2024)

DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series
by: Sriramulu, Abishek, et al.
Published: (2024)

PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
by: Li, Yanhong, et al.
Published: (2025)