Time-series forecasting

This page was last updated on 2026-05-11 07:27:01 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 437 55 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 168 59 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 54 55 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 32 55 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 694 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 166 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 DBLP, ArXiv 604 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 517 36 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 915 15 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 472 59 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 121 59 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None Neural Information Processing Systems, Advances in Neural Information Processing Systems 35 9 55 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 9 55 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 101 59 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 STELA: Spatiotemporal Forecasting via Graph Learning and Entropy-Guided LLM Adaptation Tiantian Huang, Yue Li, Wei Shao, Ziqi Xu, Qipeng Song, Hui Li 2026-04-13 Proceedings of the ACM Web Conference 2026 0 4
visibility_off TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting Fan Zhang, Shiming Fan, Hua Wang 2026-04-14 ArXiv 0 11
visibility_off Irregularly Sampled Time Series Classification via Fusing Language Models and Multi‐Channel Image Representations Zichen Li, Faming Lu, Zedong Lin, Qingtian Zeng, Yunxia Bao 2026-03-24 Concurrency and Computation: Practice and Experience 0 7
visibility_off TempusBench: An Evaluation Framework for Time-Series Forecasting Denizalp Goktas, G. Riaño-Briceño, A. Abdullah, Aryan Nair, Chenkai Shen, Beatriz de Lucio, Alexandra Magnusson, Farhan Mashrur, A. Abdulla, Shawrna Sen, Mahitha Thippireddy, G. Schwartz, Amy Greenwald 2026-04-13 ArXiv 1 7
visibility_off IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting Ayman Harkati, Moncef Garouani, Olivier Teste, Julien Aligon, Mohamed Hamlich 2026-03-25 ArXiv 0 9
visibility_off MICA: Multivariate Infini Compressive Attention for Time Series Forecasting Willa Potosnak, Nina Zukowska, Michał Wiliński, D. Howarth, Ignacy Stkepka, Mononito Goswami, Artur W. Dubrawski 2026-04-07 ArXiv 0 12
visibility_off Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition Dongyuan Li, Shun Zheng, Chang Xu, Jiang Bian, Renhe Jiang 2026-03-14 ArXiv 0 9
visibility_off Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu 2026-03-20 ArXiv 0 14
visibility_off Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates Linxiao Yang, Xuejia Jiang, Gezheng Xu, Tian Zhou, Min Yang, Zhaoyang Zhu, Linyuan Geng, Zhipeng Zeng, Qiming Chen, Xinyue Gu, Rong Jin, Liang Sun 2026-03-18 ArXiv 0 11
visibility_off A Large Language Model for Traffic Flow Prediction Based on Stationary Wavelet Transform and Graph Convolutional Networks Xin Wang, Gang Liu, Jing He, X. Zhou, Zhiyong Luo 2026-04-11 ISPRS International Journal of Geo-Information 0 9
visibility_off WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting Shunyu Wu, Jiawei Huang, Weibing Feng, Boxing Li, Xiao Zhang, Erli Meng, Dan Li, Jian Lou, See-Kiong Ng 2026-04-12 ArXiv 0 7
visibility_off FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction Xinjin Li, Jinghan Cao, Mengyue Wang, Yue Wu, Long Yan, Yeyang Zhou, Ziqi Sha, Yu Ma 2026-04-15 ArXiv 1 7
visibility_off Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting Jiacheng Wang, Liang Fan, Baihua Li, Luyang Zhang 2026-03-25 ArXiv 0 2
visibility_off A Family of Open Time-Series Foundation Models for the Radio Access Network Ioannis Panitsas, L. Tassiulas 2026-04-05 ArXiv 0 15
visibility_off ITS-Mina: A Harris Hawks Optimization-Based All-MLP Framework with Iterative Refinement and External Attention for Multivariate Time Series Forecasting Pourya Zamanvaziri, Amirhossein Sadr, Aida Pakniyat, D. Rahmati 2026-04-30 ArXiv 0 5
visibility_off Cross-RAG: Zero-Shot Retrieval-Augmented Time Series Forecasting via Cross-Attention Seunghan Lee, Jaehoon Lee, Junyoung Seo, Sungdong Yoo, Minjae Kim, Taeheon Lim, Dongwan Kang, Hwanil Choi, Soonyoung Lee, Wonbin Ahn 2026-03-16 ArXiv 0 10
visibility_off STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation Chen Zhang, Liwei Liu, Jun Tao, Xiaoyu Yang, Xuenan Xu, Kai Chen, Bowen Zhou, Wen Wu, Chao Zhang 2026-03-19 ArXiv 0 7
visibility_off GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting Yuqi Yuan, Xiong Luo, Qiaojuan Peng, Wenbing Zhao 2026-03-14 DBLP 0 9
visibility_off AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting Xudong Jiang, Min Loo, Hanchen Yang, Wengen Li, Mingrui Zhang, Yichao Zhang, Jihong Guan, Shuigeng Zhou 2026-04-25 ArXiv 0 16
visibility_off Automated Model Selection for Multivariate Time Series Forecasting Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Qiankun Zhang, Wei Xiang, Shenghao Liu, Lingzhi Yi 2026-04-12 Proceedings of the ACM Web Conference 2026 0 17
visibility_off TriTS: Time Series Forecasting from a Multimodal Perspective Xiang Ao 2026-04-17 ArXiv 0 1
visibility_off Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan 2026-03-31 ArXiv 0 9
visibility_off Traffic Flow Prediction on the Spatial Graph Convolutional Networks and Temporal Transformer Model Kaize Xu 2026-03-15 Mathematical Modeling and Algorithm Application 0 0
visibility_off DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting N. Mysore 2026-04-27 ArXiv 1 8
visibility_off Zero-shot forecasting of streamflow using time series foundation models: are we there yet? Alexander Y. Sun, Albert A Sun 2026-03-20 Machine Learning: Earth 0 5
visibility_off Foundation Models for Time Series Forecasting: Evidence from the Fuel Sector Jonas Krause, Alex C. D. Lopes, Lucas G. M. Castro, André G. R. Ribeiro, M. A. Mochinski, E. Paraiso, Fabrício Enembreck, J. P. Barddal, Alceu de Souza Britto Jr, V. M. A. Souza 2026-05-04 Journal of the Brazilian Computer Society 0 19
visibility_off FreAPNet: Learnable Amplitude–Phase Parameterization and Dual‐Path Frequency Learning for Multivariate Time Series Forecasting Nannan Xu, Kecheng Xu, Yuanyuan Cui, GuoHai Yang, Meng Huang 2026-03-31 Concurrency and Computation: Practice and Experience 0 6
visibility_off Temporal Patch Shuffle (TPS): Leveraging Patch-Level Shuffling to Boost Generalization and Robustness in Time Series Forecasting Jafar Bakhshaliyev, Johannes Burchert, Niels Landwehr, Lars Schmidt-Thieme 2026-04-10 ArXiv 0 5
visibility_off Superposition Is Not Necessary: A Mechanistic Interpretability Analysis of Transformer Representations for Time Series Forecasting A. Yildirim 2026-05-06 ArXiv 0 0
visibility_off ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification P. Quinlan, Qingguo Li, Xiaodan Zhu 2026-04-09 ArXiv 0 5
visibility_off TC-KAN: Time-Conditioned Kolmogorov–Arnold Networks with Time-Dependent Activations for Long-Term Time Series Forecasting Ziyu Shen, Yifan Fu, Liguo Weng, Keji Han, Yiqing Xu 2026-04-01 Sensors (Basel, Switzerland) 0 9
visibility_off Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains Raeid Saqur, Christoph Bergmeir, Blanka Horvath, Daniel F. Schmidt, Frank Rudzicz, Terry Lyons 2026-03-16 ArXiv 0 5
visibility_off CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models Xiaoru Wang, Fanda Fan, Chenxi Wang, Yuxuan Yang, Rui Tang, Kuoyu Gao, Simiao Pang, Yuanfeng Shang, Zhipeng Liu, Wanling Gao, Lei Wang, Jianfeng Zhan 2026-05-02 ArXiv 0 16
visibility_off Multimodal Forecasting for Commodity Prices Using Spectrogram-Based and Time Series Representations Soyeon Park, Doohee Chung, Charmgil Hong 2026-03-28 ArXiv 0 2
visibility_off Shift-Resilient Diffusive Imputation for Variable Subset Forecasting Haihua Xu, Qi Hao, He Zhang, Jianpeng Zhao, Ziyue Qiao, Lu Jiang, Pengfei Wang, Yingjie Zhou, Pengyang Wang 2026-04-12 Proceedings of the ACM Web Conference 2026 0 8
visibility_off Text Summarization With Graph Attention Networks M. Ardestani, Yllias Chali 2026-04-04 DBLP, ArXiv 0 20
visibility_off Bridging the High-Frequency Data Gap: A Millisecond-Resolution Network Dataset for Advancing Time Series Foundation Models Subina Khanal, Seshu Tirupathi, Merim Dzaferagic, Marco Ruffini, T. Pedersen 2026-03-17 ArXiv 0 16
visibility_off FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting Marco Obermeier, Marco Pruckner, Florian Haselbeck, Andreas Zeiselmair 2026-04-24 ArXiv 0 7
visibility_off Channel-Wise Retrieval for Multivariate Time Series Forecasting Junhyeok Kang, Jun Seo, Soyeon Park, Sangjun Han, Seohui Bae, Hyeokjun Choe, Soonyoung Lee 2026-04-07 ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 0 7
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index