ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.17431
  4. Cited By

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

23 May 2025
Boyuan Li
Yicheng Luo
Zhen Liu
Junhao Zheng
Jianming Lv
Qianli Ma
    AI4TS
ArXivPDFHTML

Papers citing "HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting"

6 / 6 papers shown
Title
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time
  Series
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series
Jiawen Zhang
Shun Zheng
Wei Cao
Jiang Bian
Jia Li
AI4TS
43
29
0
14 Jun 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TS
AIFin
98
756
0
05 Oct 2022
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime
  Prediction
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction
Zhong Li
Chao Huang
Lianghao Xia
Yong-mei Xu
Jiangsen Pei
49
67
0
18 Apr 2022
Learning Multi-Granular Hypergraphs for Video-Based Person
  Re-Identification
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Yichao Yan
Jie Qin
Jiaxin Chen
Li Liu
Fan Zhu
Ying Tai
Ling Shao
36
131
0
30 Apr 2021
Handling Missing Data with Graph Representation Learning
Handling Missing Data with Graph Representation Learning
Jiaxuan You
Xiaobai Ma
D. Ding
Mykel Kochenderfer
J. Leskovec
39
174
0
30 Oct 2020
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
E. Brouwer
Jaak Simm
Adam Arany
Yves Moreau
SyDa
CML
AI4TS
73
292
0
29 May 2019
1