Time-series forecasting

This page was last updated on 2026-02-02 06:32:29 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 354 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 ArXiv, International Conference on Learning Representations 148 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 Neural Information Processing Systems, ArXiv 48 54 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 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 Neural Information Processing Systems, ArXiv 594 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 149 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 International Conference on Machine Learning, ArXiv 468 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 International Conference on Machine Learning, ArXiv 408 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 ArXiv, International Conference on Learning Representations 731 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 Neural Information Processing Systems, ArXiv 414 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 106 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 67 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 4
visibility_off Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers Evandro S. Ortigossa, Eran Segal 2026-01-29 ArXiv 0 4
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 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 LLM-WPFNet: A Dual-Modality Fusion Network for Large Language Model-Empowered Wind Power Forecasting Xuwen Zheng, Yongliang Luo, Yahui Shan 2025-12-17 Symmetry 0 0
visibility_off In-Context and Few-Shots Learning for Forecasting Time Series Data based on Large Language Models Saroj Gopali, Bipin Chhetri, Deepika Giri, Sima Siami‐Namini, A. Namin 2025-12-08 ArXiv 0 25
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 TwinFormer: A Dual-Level Transformer for Long-Sequence Time-Series Forecasting Mahima Kumavat, Aditya Maheshwari 2025-12-13 ArXiv 0 0
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 Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models Siru Zhong, Junjie Qiu, Yangyu Wu, Yiqiu Liu, Yuanpeng He, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang 2026-01-17 ArXiv 0 38
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 Periodicity Variations Modelling Based on 2D Multi‐Scale Patch for Multivariate Time Series Forecasting Using Improved MLP and Depthwise Separable Convolution Yachuan Wang, Mi Wen, Dongyang Li, Jigang Wang 2025-12-08 Expert Systems 0 0
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 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 Spatiotemporal memory probabilistic sparse transformer for traffic flow prediction Linlong Chen, Qing-Hua Wu 2025-12-26 Journal of King Saud University Computer and Information Sciences 0 4
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 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 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 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 MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs Xingsheng Chen, Regina Zhang, Bo Gao, Xingwei He, Xiaofeng Liu, Pietro Lio, Kwok-Yan Lam, S. Yiu 2026-01-01 ArXiv 0 6
visibility_off Station-Aware Patch-Gated Temporal Transformer for Multihorizon Forecasting in Smart City Applications Raeed Al-sabri, Saad Hameed, M. R. Alfarra, Mohamed Abdallah, Ala I. Al-Fuqaha 2025-12-14 2025 Computing, Communications and IoT Applications (ComComAp) 0 30
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 LLM-Empowered Time Series Prediction with Cross-Modal Fusion Xingheng Wan, Meng Liu, Yuzhe Li, Tian Yang, Shuhao Zhang, Zhikui Chen 2025-12-15 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 0 2
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 DB2-TransF: All You Need Is Learnable Daubechies Wavelets for Time Series Forecasting Moulik Gupta, A. Tripathi 2025-12-10 ArXiv 0 10
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 FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting Xingjian Wu, Hanyin Cheng, Xiangfei Qiu, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang 2025-12-16 ArXiv 1 38
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 10
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
visibility_off PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting Olaf Yunus Laitinen Imanov, Derya Umut Kulali, Taner Yilmaz 2026-01-28 ArXiv 0 0
visibility_off A Comparative Study of Adaptation Strategies for Time Series Foundation Models in Anomaly Detection Miseon Park, Kijung Yoon 2026-01-01 ArXiv 0 0
visibility_off Distilling Time Series Foundation Models for Efficient Forecasting Yuqi Li, Kuiye Ding, Chuanguang Yang, Szu-Yu Chen, Yingli Tian 2026-01-19 ArXiv 0 7
visibility_off Time-series forecasting for political violence targeting women Myo Thida 2025-12-09 International Journal of Data Science and Analytics 0 2
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index