Time-series forecasting

This page was last updated on 2025-12-01 06:13:36 UTC

Manually curated articles on Time-series forecasting

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
visibility_off A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, C. Alippi, G. I. Webb, Irwin King, Shirui Pan 2023-07-07 IEEE Transactions on Pattern Analysis and Machine Intelligence 291 53 open_in_new
visibility_off Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang, M. Zeman, Theodoros Tsiligkaridis, M. Zitnik 2021-10-11 ArXiv, International Conference on Learning Representations 137 56 open_in_new
visibility_off Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi 2023-02-08 ArXiv, Neural Information Processing Systems 45 53 open_in_new
visibility_off Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini, Daniele Zambon, C. Alippi 2022-05-26 J. Mach. Learn. Res., Journal of machine learning research 28 53 open_in_new
visibility_off Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson 2023-10-11 ArXiv, Neural Information Processing Systems 547 18 open_in_new
visibility_off Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe Wang, Oleksii Tsepa, Jun Ma, Bo Wang 2024-02-01 ArXiv, arXiv.org 131 7 open_in_new
visibility_off A decoder-only foundation model for time-series forecasting Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou 2023-10-14 ArXiv, International Conference on Machine Learning 405 15 open_in_new
visibility_off Unified Training of Universal Time Series Forecasting Transformers Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo 2024-02-04 ArXiv, International Conference on Machine Learning 363 33 open_in_new
visibility_off Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, X. Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen 2023-10-03 ArXiv, International Conference on Learning Representations 648 14 open_in_new
visibility_off Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, M. Zitnik 2022-06-17 ArXiv, Neural Information Processing Systems 386 56 open_in_new
visibility_off Domain Adaptation for Time Series Under Feature and Label Shifts Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, M. Zitnik 2023-02-06 ArXiv, DBLP 98 56 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None DBLP 8 53 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 ArXiv, arXiv.org 8 53 open_in_new
visibility_off UniTS: A Unified Multi-Task Time Series Model Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, M. Zitnik 2024-02-29 Advances in Neural Information Processing Systems 37, Neural Information Processing Systems 54 56 open_in_new
Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations

Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index
visibility_off HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting Tan Wang, Yun Wei Dong, Tao Zhang, Qi Wang 2025-10-08 ArXiv 0 3
visibility_off MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis Qinghua Liu, Sam Heshmati, Zheda Mai, Zubin Abraham, John Paparrizos, Liu Ren 2025-10-08 ArXiv 1 19
visibility_off Xihe: Scalable Zero-Shot Time Series Learner Via Hierarchical Interleaved Block Attention Yinbo Sun, Yuchen Fang, Zhibo Zhu, Jia Li, Yu Liu, Qiwen Deng, Jun Zhou, Hang Yu, Xingyu Lu, Lintao Ma 2025-10-20 ArXiv 0 5
visibility_off InvDec: Inverted Decoder for Multivariate Time Series Forecasting with Separated Temporal and Variate Modeling Yuhang Wang 2025-10-23 ArXiv 0 0
visibility_off CoRA: Covariate-Aware Adaptation of Time Series Foundation Models Guo Qin, Zhi Chen, Yong Liu, Zhiyuan Shi, Haixuan Liu, Xiangdong Huang, Jianmin Wang, Mingsheng Long 2025-10-14 ArXiv 0 32
visibility_off HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting Andrey Savchenko, Oleg Kachan 2025-11-11 ArXiv 0 1
visibility_off Tiny-TSM: Efficiently Training a Lightweight SOTA Time Series Foundation Model Felix Birkel 2025-11-24 ArXiv 0 0
visibility_off Fighter: Unveiling the Graph Convolutional Nature of Transformers in Time Series Modeling Chen Zhang, Weixin Bu, Wendong Xu, Runsheng Yu, Yik-Chung Wu, Ngai Wong 2025-10-20 ArXiv 0 2
visibility_off TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting Zhipeng Liu, Peibo Duan, Xuan Tang, Baixin Li, Yongsheng Huang, Mingyang Geng, Changsheng Zhang, Bin Zhang, Binwu Wang 2025-10-08 ArXiv 0 3
visibility_off AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 8
visibility_off Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models Xingyu Liu, Min Gao, Zongwei Wang, Yinbing Bai 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 9
visibility_off DLAFE: A Dual-Aligned Framework Via LLM-Based Adaptive Feature Extraction for Time Series Forecasting You Zhou, Kaiwen Xia, Tianen Liu, Shuai Wang, Xianjun Deng 2025-10-10 2025 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) 0 3
visibility_off SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang 2025-10-27 ArXiv 0 36
visibility_off DHINet: decomposed hybrid interaction network Hao Chen 2025-10-13 None 0 0
visibility_off Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis Asal Meskin, Alireza Mirrokni, Ali Najar, Ali Behrouz 2025-11-02 ArXiv 0 0
visibility_off EAPformer: Entropy-Aware Patch Transformer for Multivariate Long-Term Time Series Forecasting Jiahao Ling, Xuan Yang, Shiming Gong, Bo Gu 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 11
visibility_off TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning Fangxu Yu, Hongyu Zhao, Tianyi Zhou 2025-10-03 ArXiv 0 5
visibility_off MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting Shule Hao, Junpeng Bao, Wenli Li 2025-10-18 ArXiv 0 1
visibility_off DualMamba: a patch-based model with dual mamba for long-term time series forecasting Guang-Yu Wei, Hui-Chuan Huang, Zhi-Qing Zhong, Wen-Long Sun, Yong-Hao Wan, Ai-Min Feng 2025-10-21 Frontiers of Computer Science 0 0
visibility_off EMAformer: Enhancing Transformer through Embedding Armor for Time Series Forecasting Zhiwei Zhang, Xinyi Du, Xuanchi Guo, Weihao Wang, Wenjuan Han 2025-11-11 ArXiv 0 2
visibility_off TimeSense:Making Large Language Models Proficient in Time-Series Analysis Zhirui Zhang, Changhua Pei, Tianyi Gao, Zhe Xie, Yibo Hao, Zhaoyang Yu, Longlong Xu, Tong Xiao, Jing Han, Dan Pei 2025-11-09 ArXiv 0 10
visibility_off Moirai 2.0: When Less Is More for Time Series Forecasting Chenghao Liu, Taha İbrahim Aksu, Juncheng Liu, Xu Liu, Hanshu Yan, Quang Pham, Doyen Sahoo, Caiming Xiong, Silvio Savarese, Junnan Li 2025-11-12 ArXiv 0 33
visibility_off SEMPO: Lightweight Foundation Models for Time Series Forecasting Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang 2025-10-22 ArXiv 0 9
visibility_off PeriodNet: Boosting the Potential of Attention Mechanism for Time Series Forecasting Bowen Zhao, Huanlai Xing, Zhiwen Xiao, Jincheng Peng, Li Feng, Xinhan Wang, Rong Qu, Hui Li 2025-11-23 ArXiv 0 19
visibility_off The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models Xin Qiu, Junlong Tong, Yirong Sun, Yunpu Ma, Xiaoyu Shen 2025-11-10 ArXiv 0 3
visibility_off Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer Runchang Liang, Qi Hao, Yue Gao, Kunpeng Liu, Lu Jiang, Pengyang Wang, Minghao Yin 2025-08-03 Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 0 6
visibility_off MSTN: Fast and Efficient Multivariate Time Series Model Sumit Shevtekar, Chandresh Kumar Maurya, Gourab Sil 2025-11-25 ArXiv 0 7
visibility_off Lightweight and Data-Efficient MultivariateTime Series Forecasting using Residual-Stacked Gaussian (RS-GLinear) Architecture Abukar Ali 2025-10-04 ArXiv 0 0
visibility_off Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification Andreas Auer, Daniel Klotz, Sebastinan Bock, Sepp Hochreiter 2025-10-30 ArXiv 1 57
visibility_off PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting Yiming Niu, Jinliang Deng, Yongxin Tong 2025-10-05 ArXiv 0 1
visibility_off Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction Atif Hassan, Tarun Kumar, Ashish Mishra, S. Serebryakov, Satish Kumar Mopur, Phanidhar Koganti, Murthy Chelankuri, Ramanagopal V. Vogety, Suparna Bhattacharya, Martin Foltin 2025-11-05 ArXiv 0 4
visibility_off Training-Free Time Series Classification via In-Context Reasoning with LLM Agents Songyuan Sui, Zihang Xu, Yu-Neng Chuang, Kwei-Herng Lai, Xia Hu 2025-10-07 ArXiv 1 16
visibility_off A Data-Driven Scale-Adaptive Time-Frequency Convolutional Network for Long Sequence Time-Series Forecasting Zhiqiang Zhang, Weiqing Wang, Xin Zhou, Yu Bai, Hongzhi Yin 2025-12-01 IEEE Transactions on Knowledge and Data Engineering 0 3
visibility_off ChronoFusion: Spatio-Temporal Super-Resolution Based on Graph VAEs and Gated Fusion Seyed Mohammad Moghadas, Leandro Di Bella, Bruno Cornelis, Adrian Munteanu 2025-10-13 2025 13th European Workshop on Visual Information Processing (EUVIP) 0 6
visibility_off Are Time-Indexed Foundation Models the Future of Time Series Imputation? E. L. Naour, Tahar Nabil, Adrien Petralia, G. Agoua 2025-11-08 ArXiv 0 4
visibility_off OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting Tingyue Pan, Mingyue Cheng, Shilong Zhang, Zhiding Liu, Xiaoyu Tao, Yucong Luo, Jintao Zhang, Qi Liu 2025-10-28 ArXiv 0 9
visibility_off MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting Qin Shi, Chu Xu, Zongtang Hu, Dong Shen, Dapeng Sun, Lijun Quan 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 11
visibility_off Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising Kangjia Yan, Chenxi Liu, Hao Miao, Xinle Wu, Yan Zhao, Chenjuan Guo, Bin Yang 2025-10-07 ArXiv 0 36
visibility_off Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting Yifan Gao, Boming Zhao, Haocheng Peng, Hujun Bao, Jiashu Zhao, Zhaopeng Cui 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 9
visibility_off Patch-Decomposition-Enhanced TCN With Transformer for Soft Sensor Modeling Yanglangxing He, Ze-Hao Bai, Yuan Xu, Qun Zhu, Longchuan Li 2025-11-15 IEEE Sensors Journal 0 23
visibility_off CometNet: Contextual Motif-guided Long-term Time Series Forecasting Weixu Wang, Xiaobo Zhou, Xin Qiao, Lei Wang, Tie Qiu 2025-11-11 ArXiv 0 5
visibility_off COLLAR: combating low-rank temporal latent representation for high-dimensional multivariate time series prediction using dynamic Koopman regularization Qifa Peng, Simin An, Siyu Nie, Yong Su 2025-11-21 Journal of Big Data 0 0
visibility_off Deconstructing a Minimalist Transformer Architecture for Univariate Time Series Forecasting Filippo Garagnani, Vittorio Maniezzo 2025-10-14 Algorithms 0 0
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index