Time-series forecasting

This page was last updated on 2026-02-16 06:33:24 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 373 54 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 International Conference on Learning Representations, ArXiv 150 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 49 54 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. 29 54 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 616 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 155 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 496 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 428 34 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 International Conference on Learning Representations, ArXiv 766 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 422 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 107 59 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None DBLP 8 54 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 ArXiv, arXiv.org 8 54 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 Neural Information Processing Systems, Advances in Neural Information Processing Systems 37 77 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 TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting Jaebin Lee, Hankook Lee 2025-12-27 ArXiv 0 0
visibility_off MoHETS: Long-term Time Series Forecasting with Mixture-of-Heterogeneous-Experts Evandro S. Ortigossa, Guy Lutsker, Eran Segal 2026-01-29 ArXiv 0 5
visibility_off Multi-view graph representing interactive learning network for time series forecasting Guanshu Wang, Limin Liu, Bin Wu 2026-01-18 Journal of Big Data 0 1
visibility_off Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting Saurish Nagrath, Saroj Kumar Panigrahy 2026-01-18 ArXiv 0 12
visibility_off Enhancing few-shot time series forecasting with LLM-guided diffusion Haonan Shi, Dehua Shuai, Liming Wang, Xiyang Liu, Long Tian 2026-01-19 ArXiv 0 2
visibility_off KALFormer: Knowledge-augmented attention learning for long-term time series forecasting with transformer Xing Dong, Qianwei Yang, Wenbo Cheng, Yun Zhang 2026-01-05 PLOS One 0 1
visibility_off DynaSTy: A Framework for SpatioTemporal Node Attribute Prediction in Dynamic Graphs Namrata Banerji, Tanya Y. Berger-Wolf 2026-01-08 ArXiv 0 5
visibility_off DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters Haoran Zhang, Haixuan Liu, Yong Liu, Yunzhong Qiu, Yuxuan Wang, Jianmin Wang, Mingsheng Long 2026-02-06 ArXiv 0 33
visibility_off PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data Structures Across Nodes Yiming Zhou, Mingyue Cheng, Hao Wang, Enhong Chen 2026-01-09 ArXiv 0 16
visibility_off T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation Suhan Guo, Bingxu Wang, Shaodan Zhang, Furao Shen 2026-02-02 ArXiv 0 0
visibility_off ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting Qianyang Li, Xingjun Zhang, Shaoxun Wang, Jia Wei, Yueqi Xing 2026-02-02 ArXiv 0 7
visibility_off DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis Rui An, Haohao Qu, Wenqi Fan, Xuequn Shang, Qing Li 2026-01-09 ArXiv 0 12
visibility_off Time series forecasting with Hahn Kolmogorov-Arnold networks Md Zahidul, Hasan A. Ben, Hamza Nizar Bouguila 2026-01-25 ArXiv 0 0
visibility_off A Unified Shape-Aware Foundation Model for Time Series Classification Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma 2026-01-10 ArXiv 0 14
visibility_off CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting Jiyuan Xu, Wenyu Zhang, Xin Jing, Shuai Chen, Shuai Zhang, Jiahao Nie 2026-01-28 ArXiv 0 32
visibility_off Empowering Time Series Analysis with Large-Scale Multimodal Pretraining Peng Chen, Siyuan Wang, Shiyan Hu, Xingjian Wu, Yang Shu, Zhongwen Rao, Meng Wang, Yijie Li, Bin Yang, Chenjuan Guo 2026-02-05 ArXiv 0 38
visibility_off LLM-driven hybrid architecture for multi-variate and multi-horizon forecasting of consumption patterns using graphs, recurrent units, and transformers Ishpreet Kaur, Jatin Bedi, Ashutosh Aggarwal 2026-01-31 Discover Computing 0 5
visibility_off Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval Fanpu Cao, Lu Dai, Jindong Han, Hui Xiong 2026-02-11 ArXiv 0 17
visibility_off CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting Yaguo Liu, Mingyue Cheng, Daoyu Wang, Xiaoyu Tao, Qi Liu 2026-02-03 ArXiv 0 16
visibility_off Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting Fan Zhang, Shiming Fan, Hua Wang 2026-01-30 ArXiv 0 11
visibility_off An Exploratory Study to Repurpose LLMs to a Unified Architecture for Time Series Classification Hansen He, Shuheng Li 2026-01-15 ArXiv 0 0
visibility_off A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting H. Moges, Deshendran Moodley 2025-12-19 ArXiv 0 14
visibility_off SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement Xiangfei Qiu, Xvyuan Liu, Tianen Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, Jilin Hu 2026-01-31 ArXiv 0 22
visibility_off Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection Xingyou Yin, Ceyao Zhang, Min Hu, Kai Chen 2025-12-23 ArXiv 0 0
visibility_off Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting Xiangfei Qiu, Kangjia Yan, Xvyuan Liu, Xingjian Wu, Jilin Hu 2026-01-31 ArXiv 0 22
visibility_off DMamba: Decomposition-enhanced Mamba for Time Series Forecasting Ruxuan Chen, Fang Sun 2026-02-09 ArXiv 0 0
visibility_off ACFormer: Mitigating Non-linearity with Auto Convolutional Encoder for Time Series Forecasting Gawon Lee, Hanbyeol Park, Minseop Kim, Dohee Kim, Hyerim Bae 2026-01-28 ArXiv 0 5
visibility_off TSAformer: A Traffic Flow Prediction Model Based on Cross-Dimensional Dependency Capture Haoning Lv, Xi Chen, Weijie Xiu 2026-01-04 Electronics 0 0
visibility_off Pstanet: patchwise spectro-temporal analytic network for multivariate long-sequence time series forecasting Chunru Dong, Wei Luo, Qiang Hua, Yong Zhang, Fen Zhang 2026-01-01 International Journal of Machine Learning and Cybernetics 0 4
visibility_off One-Shot Price Forecasting with Covariate-Guided Experts under Privacy Constraints Ren He, Yinliang Xu, Jinfeng Wang, Jeremy Watson, Jian Song 2026-01-17 ArXiv 0 1
visibility_off Spatiotemporal decoupling-gated transformer: modeling high-dimensional coupling for traffic flow prediction Gong Wang, Wei Sun, Junbo Gao, Chunyu Wang, Lai Wei 2026-01-01 Applied Intelligence 0 7
visibility_off MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs Xingsheng Chen, Regina Zhang, Bo Gao, Xingwei He, Xiaofeng Liu, P. Lio, Kwok-Yan Lam, S. Yiu 2026-01-01 ArXiv 0 6
visibility_off Revisiting the Generic Transformer: Deconstructing a Strong Baseline for Time Series Foundation Models Yunshi Wen, Wesley M. Gifford, Chandra Reddy, Lam M. Nguyen, Jayant Kalagnanam, A. A. Julius 2026-02-06 ArXiv 0 8
visibility_off Learning from Historical Activations in Graph Neural Networks Yaniv Galron, Hadar Sinai, Haggai Maron, Moshe Eliasof 2026-01-03 ArXiv 0 11
visibility_off A Uncertainty-Calibrated Transformer for Long-Horizon Forecasting with Missing and Irregular Observations Joseph Hernandez, Barbara Hall 2025-12-30 Frontiers in Artificial Intelligence Research 0 0
visibility_off vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting Wenzhen Yue, Ruohao Guo, Ji Shi, Zihan Hao, Shiyu Hu, Xianghua Ying 2026-01-20 ArXiv 0 6
visibility_off A Lightweight Multi-View Approach to Short-Term Load Forecasting Julien Guit'e-Vinet, Alexandre Blondin Mass'e, 'Eric Beaudry 2026-02-09 ArXiv 0 0
visibility_off Multi-Modal Time Series Prediction via Mixture of Modulated Experts Lige Zhang, Ali Maatouk, Jialin Chen, L. Tassiulas, Rex Ying 2026-01-29 ArXiv 0 13
visibility_off WinStat: A Family of Trainable Positional Encodings for Transformers in Time Series Forecasting Cristhian Moya-Mota, Ignacio Aguilera-Martos, Diego García-Gil, Julián Luengo 2025-12-29 Machine Learning and Knowledge Extraction 0 36
visibility_off Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting Haonan Yang, Jianchao Tang, Zhuo Li 2026-01-23 ArXiv 0 0
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index