DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series
Fuente:
arXiv
Saved in:
| Main Authors: | Sriramulu, Abishek, Fourrier, Nicolas, Bergmeir, Christoph |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
by: Sriramulu, Abishek, et al.
Published: (2024)
by: Sriramulu, Abishek, et al.
Published: (2024)
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2024)
by: Zhou, Xin, et al.
Published: (2024)
Deep Coupling Network For Multivariate Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)
by: Yi, Kun, et al.
Published: (2024)
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)
by: Feng, Shibo, et al.
Published: (2025)
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
by: Savchenko, Andrey, et al.
Published: (2025)
by: Savchenko, Andrey, et al.
Published: (2025)
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
by: Wang, Muyao, et al.
Published: (2024)
by: Wang, Muyao, et al.
Published: (2024)
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
by: Cini, Andrea, et al.
Published: (2023)
by: Cini, Andrea, et al.
Published: (2023)
Graph Neural Networks with Diversity-aware Neighbor Selection and Dynamic Multi-scale Fusion for Multivariate Time Series Forecasting
by: Xu, Jingqi, et al.
Published: (2025)
by: Xu, Jingqi, et al.
Published: (2025)
Graph Deep Learning for Time Series Forecasting
by: Cini, Andrea, et al.
Published: (2023)
by: Cini, Andrea, et al.
Published: (2023)
DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2025)
by: Li, Qianyang, et al.
Published: (2025)
Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)
by: Wu, Haixiang
Published: (2024)
Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)
by: Han, Xiao, et al.
Published: (2024)
Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)
by: Zhang, Huiliang, et al.
Published: (2025)
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)
by: Wang, Tan, et al.
Published: (2025)
Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
by: Liang, Guojun, et al.
Published: (2024)
by: Liang, Guojun, et al.
Published: (2024)
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
by: Liu, Zhe, et al.
Published: (2024)
by: Liu, Zhe, et al.
Published: (2024)
PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting
by: Zhou, Yingbo, et al.
Published: (2026)
by: Zhou, Yingbo, et al.
Published: (2026)
Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks
by: Jayawardhana, Mayuka, et al.
Published: (2026)
by: Jayawardhana, Mayuka, et al.
Published: (2026)
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
by: Taga, Ege Onur, et al.
Published: (2025)
by: Taga, Ege Onur, et al.
Published: (2025)
Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)
by: Jung, Chanyoung, et al.
Published: (2024)
Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
by: Cao, Fanpu, et al.
Published: (2024)
by: Cao, Fanpu, et al.
Published: (2024)
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)
by: Cao, Fanpu, et al.
Published: (2026)
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
by: Cortés, Adrien, et al.
Published: (2025)
by: Cortés, Adrien, et al.
Published: (2025)
Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
by: Liu, Zibo, et al.
Published: (2025)
by: Liu, Zibo, et al.
Published: (2025)
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)
by: Hu, Jiaxi, et al.
Published: (2024)
Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
by: Luo, Yuchen, et al.
Published: (2025)
by: Luo, Yuchen, et al.
Published: (2025)
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting
by: Kiefer, Nicholas, et al.
Published: (2024)
by: Kiefer, Nicholas, et al.
Published: (2024)
ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting
by: Wang, Fei, et al.
Published: (2025)
by: Wang, Fei, et al.
Published: (2025)
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)
by: Lu, Jiecheng, et al.
Published: (2024)
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting
by: Moges, Henok Tenaw, et al.
Published: (2025)
by: Moges, Henok Tenaw, et al.
Published: (2025)
One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
by: Gao, Mengzhou, et al.
Published: (2026)
by: Gao, Mengzhou, et al.
Published: (2026)
Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge
by: Ghawaly, James, et al.
Published: (2025)
by: Ghawaly, James, et al.
Published: (2025)
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
by: Zhang, Zhenwei, et al.
Published: (2023)
by: Zhang, Zhenwei, et al.
Published: (2023)
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
by: Niu, Yiming, et al.
Published: (2025)
by: Niu, Yiming, et al.
Published: (2025)
Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
by: Madarasingha, Chamara, et al.
Published: (2025)
by: Madarasingha, Chamara, et al.
Published: (2025)
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2025)
by: Yue, Wenzhen, et al.
Published: (2025)
ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2026)
by: Li, Qianyang, et al.
Published: (2026)
Similar Items
-
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
by: Sriramulu, Abishek, et al.
Published: (2024) -
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2024) -
Deep Coupling Network For Multivariate Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024) -
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025) -
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
by: Savchenko, Andrey, et al.
Published: (2025)