Time-series forecasting

This page was last updated on 2026-09-21 06:39:16 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 561 56 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 195 62 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 58 56 open_in_new
visibility_off Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini, Daniele Zambon, C. Alippi 2022-05-26 Journal of machine learning research, J. Mach. Learn. Res. 38 56 open_in_new
visibility_off Large Language Models Are Zero-Shot Time Series Forecasters N. Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson 2023-10-11 ArXiv, Neural Information Processing Systems 871 19 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.org, ArXiv 195 10 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 DBLP, ArXiv 899 16 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 DBLP, ArXiv 748 36 open_in_new
visibility_off Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lin-Tao Ma, Zhixuan Chu, James Y. Zhang, X. Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shi-Rui Pan, Qingsong Wen 2023-10-03 ArXiv, International Conference on Learning Representations 1186 15 open_in_new
visibility_off Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang, Zi-Yuan Zhao, Theodoros Tsiligkaridis, M. Zitnik 2022-06-17 ArXiv, Neural Information Processing Systems 551 62 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 DBLP, ArXiv 144 62 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None Advances in Neural Information Processing Systems 35, Neural Information Processing Systems 9 56 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 146 62 open_in_new
visibility_off Graph State-Space Models and Latent Relational Inference Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 ArXiv 8 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 Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Morad Laglil, Bertrand Pracca, Emilie Devijver, Éric Gaussier 2026-07-25 ArXiv 1 14
visibility_off TS-RAG: Retrieval Augmented Generation for Time Series Forecasting Yixiong Xiao, Congxi Xiao, Jingbo Zhou 2026-08-06 ArXiv 1 5
visibility_off Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting Tamanna S. Kumavat, Georg Brunner, Kyriakos Flouris 2026-09-14 ArXiv 0 7
visibility_off StreamTimer: Efficient Inference for Long-Context Time Series Transformers Xi-Yu Meng, Yuhan Wu, Can-Ran Xiao, Yabo Dong, Duanqing Xu 2026-09-01 Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence 0 7
visibility_off RWKV-TS+: Adaptive Long-Range Prompt for Multiple Time Series Tasks Hua-Xin Pang, Xiao-Xia Xie, Yu Li, Zhuo-Bin Jiang, Xiao-Ping Zhang, Hua-Qi Zhang, Shikui Wei, Yao Zhao, Yu-Feng Zhao 2026-10-01 IEEE Transactions on Knowledge and Data Engineering 0 22
visibility_off SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting Hai-Zhao Fan, Xinh Le 2026-08-27 ArXiv 0 0
visibility_off GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care Ruirui Wang, Yanke Li, Manuel Günther, Diego Paez-Granados 2026-08-11 ArXiv 1 4
visibility_off PatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive Learning Meng-Sen Wu, Haochen Shi, Shengdong Du, Jie Hu, Yan Yang, Junbo Zhang, Tian-Rui Li 2026-08-08 Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 0 49
visibility_off RePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series Forecasting Han-Bin Xiao, Xun Zhou, Ruizhi Huang, Xiucheng Li, Weili Guan, Liqiang Nie 2026-08-08 Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 0 16
visibility_off SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting Abraham Ezema, C. Eze, F. Ponci, A. Monti 2026-09-17 ArXiv 0 56
visibility_off Beyond Sequences: A Dynamic Hierarchical Heterogeneous Spatio-Temporal Graph for Irregular Multivariate Time Series Forecasting Xiao-Wei Yan, Zhuo Li, Jun-Jie Zhang, Bing Li, Jun Yan, Bu-Zhou Tang 2026-09-01 Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence 0 16
visibility_off ConDyGNet: Constraint-Guided Dynamic Graph Networks for Multivariate Time Series Forecasting Zhen-Zhou Li, Xiang Li, Zhibin Niu 2026-09-01 Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence 0 3
visibility_off Scale-Aware Pretraining of Time Series Foundation Models via Multi-Patch Token Alignment and Hybrid Masking Taihua Chen, Xiang Ma, Yi-Xin Zhang, Tailin Zhan, Manyu Sun, Li-zhen Cui 2026-08-20 ArXiv 0 11
visibility_off ConTemPreT: Contextual temporal pre-trained transformer-based forecasting Yunus Emre Midilli, S. Parshutin 2026-08-01 Applied Intelligence 0 6
visibility_off A Survey on Foundation Models for Structured Data: Tabular, Time Series, and Graphs Qingyun Sun, Haonan Yuan, Yi Huang, Ziwei Zhang, Xing-Cheng Fu, Ruijie Wang, Haoyi Zhou, Jianxin Li, Jia Wu, Philip S. Yu 2026-10-01 IEEE Transactions on Knowledge and Data Engineering 4 45
visibility_off Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework Tian Shen, Zhengyu Li, Yutong Li, Xiangfei Qiu, Xingjian Wu, Bin Yang, Jilin Hu 2026-07-30 ArXiv 1 26
visibility_off CTDFormer: controllable trend decomposition with dual-seasonal attention for multivariate time series forecasting Wei-Tao Sun, Yujuan Sun, Ting Wang, Hua Wang 2026-08-26 Intelligent Marine Technology and Systems 0 17
visibility_off Rethinking Patch Based Multivariate Time Series Forecasting with Semantic Structured Partitioning Jia-Zhen Wang, Z. Huang, Lin-Jing Xue, Ming Liu, Meiwen Li, Rui-Juan Zheng 2026-08-20 ArXiv 0 5
visibility_off Tabby: An Open Pretraining Recipe for Time Series Foundation Models Shi-Feng Xie, Bahaeddine Abdessalem, Ze-Hao Xiao, Youssef Attia El Hili, Ambroise Odonnat, Zhi-Wei Dong, Lei Zan, Themis Palpanas, Jian-Feng Zhang, Lu-Jia Pan, Keli Zhang, Malik Tiomoko 2026-09-12 ArXiv 0 57
visibility_off In-Context Inpainting for Time Series Forecasting T. Nguyen, D. Nguyen, Romero Morais, Truyen Tran 2026-08-24 ArXiv 0 7
visibility_off EvtGraph: Event-Adaptive Compression for Sparse Temporal Graph Learning in Multimodal Time Series Zi-Qian Wang, Tingxiong Xiao, Yuxiao Cheng, J. Suo 2026-08-05 ArXiv 0 37
visibility_off GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation Ming-Yang Wang, Rong Li, Xiao Wang, Changjian Chen 2026-08-03 ArXiv 0 0
visibility_off Adaptive Temporal Delay Embedding for Time Series Forecasting Xin-Yu Yan, Zi-Yu Tang, Shi-Kang Liu, Xiren Zhou, Xiang-Yu Wang, Huan-Huan Chen 2026-08-01 2026 12th International Conference on Big Data and Information Analytics (BigDIA) 0 14
visibility_off ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning Jun Fang, Shi-Feng Xie, Ruichu Cai, Shengji Zheng, Zijian Li, Keli Zhang, Lu-Jia Pan, Themis Palpanas, Zhifeng Hao 2026-08-25 ArXiv 0 57
visibility_off Multivariate time series forecasting with multi-view hierarchical patching and lag-coupled channel attention Xinbang Fang, Tao Ma, Ke Lu, Fen Wang, Chun Lian 2026-08-12 Frontiers in Applied Mathematics and Statistics 0 4
visibility_off TS-MTM: Temporal-Spectral Masked Time-Series Modeling for Forecasting Pengcheng Zhang, Xiaocao Ouyang, Xin Li, Fan Yang, Wei Huang, Ling-Fei Ren, Ran Peng, Qiang Zhai, Huimin Fu 2026-08-08 Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 0 21
visibility_off MFSNet: lightweight multi-scale MLP-guided frequency suppression network for multivariate time series forecasting Y. Xun, Jiaxin Dou, Hai-Feng Yang, Jiang-Hui Cai, Xing Wang 2026-07-31 International Journal of Machine Learning and Cybernetics 0 16
visibility_off TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification J´er´emie Stym-Popper, Clément Rambour, Federica Granese, Nicolas Thome, Olivier Bernard 2026-08-31 ArXiv 0 9
visibility_off A transformer encoder architecture for node-level time series forecasting Ze Zhao, Ming-Yan Jiang, Feng Wang 2026-08-25 None 0 4
visibility_off Predicting the Unpredictable: LLM-powered Long-term Chaotic Time Series Forecasting under Short-term Observations Yue Yao, Bo-Han Jiang 2026-08-30 ArXiv 0 0
visibility_off MSPCIFormer: A Multi‐Scale Patching Channel‐Independent Transformer for Cryptocurrency Price Forecasting Huali Zhao, Martin Crane, Marija Bezbradica 2026-07-29 Expert Systems 0 17
visibility_off Second-order season-trend GRU for long time series forecasting Leqian Zhang, Yu-Jian Li, Ruo-Yu Chen 2026-08-14 Evolving Systems 0 5
visibility_off Discretizing Continuous Time Series for Imputation with Masked Diffusion Training Dongbin Kim, Seungyun Lee, Geonwoo Shin, Jaewook Lee 2026-08-19 ArXiv 0 19
visibility_off Compositional Spectral Prompts for LLM-based Online Time Series Forecasting Seungyoon Choi, Hyunchul C. Kim, Jae-Gil Lee, Chanyoung Park 2026-09-02 ArXiv 0 9
visibility_off Multi-horizon sequential prediction via informer ensemble with ProbSparse attention: A cross-domain study on four large-scale temporal datasets Xiang Ma, Piao-Piao Huang, Lingli Qing 2026-08-21 Journal of King Saud University Computer and Information Sciences 0 15
visibility_off CLaST: Context-aware Contrastive VAE for Probabilistic Time Series Forecasting A. Marusov, D. Anikin, P. Sokerin, Vitaliy Pozdnyakov, Ilya Kuleshov, Alexey Zaytsev 2026-08-20 ArXiv 0 6
visibility_off AG-AL-T: integrating adaptive graph attention module and adaptive local context aggregation Transformer for spatiotemporal RUL prediction Yao Xiao, You-Wen Hu, Yi-Fan Miao, Chen Leng, Xin-Ning Zhang, Jia-Yin Tang 2026-08-06 Engineering Research Express 0 3
visibility_off Attention as Selection: Semantic-Guided Time Series Forecasting Xue-Yun Luo, Qiang Lu, Sangui Jian, Yang-Xue Hu, Zhengyu Ying, Ye Yu, Wenxing Lu, Yan Qiao 2026-09-01 Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence 0 11
visibility_off Into the ORBIT for Time Series: Training Regimes for Foundation Models Hongjie Xia, Yiding Liu, Yifan Hu, Peiyuan Liu, Zewei Dong 2026-08-13 ArXiv 1 10
visibility_off When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series Chen Shao, Yue Wang, Zhenyi Zhu, Zhanbo Huang, , Zonghan Wu, Danai Koutra 2026-08-07 ArXiv 0 40
visibility_off H²SCAN: Adaptive Time Series Representation Learning via Heterogeneous Hypergraph Structure-aware Contrasts Biao Chen, Zi-Jie Tang, Junhua Fang, Feng Lu, Lang Zhang, Peng-Peng Zhao 2026-09-01 Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence 0 12
visibility_off Multivariate Time Series Forecasting needs Cross Variable Loss Kuiye Ding, Yifan Hu, Hanchen Wang, Hao Xue 2026-08-06 ArXiv 0 4
visibility_off Model-agnostic Retrieval-Augmented Extended Forecasting for time series Juan Pablo Villa Serna, Rohan Asthana, Vasileios Belagiannis 2026-08-14 ArXiv 0 2
visibility_off Perturbation Matters in Time Series Forecasting: A Wave-attention-aware Transformer Method Yiming Wang, Yiqin Su, Ximing Li, C. Li, Bing Wang 2026-09-01 Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence 0 13
visibility_off Interval wavelets based multiscale normalizing flow for forecasting irregularly sampled time series (IWMNF) Elisa C. González, Chang Chiann, G. E. Salcedo 2026-08-06 International Journal of Data Science and Analytics 0 9
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index