Time-series forecasting

This page was last updated on 2026-10-12 06:45:56 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, Geoffrey I. Webb, Irwin King, Shirui Pan 2023-07-07 IEEE Transactions on Pattern Analysis and Machine Intelligence 578 57 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 203 63 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 59 57 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 38 57 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 Neural Information Processing Systems, ArXiv 902 21 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 200 12 open_in_new
visibility_off A decoder-only foundation model for time-series forecasting Abhimanyu Das, Wei-Hao Kong, Rajat Sen, Yi-Chen Zhou 2023-10-14 DBLP, ArXiv 993 16 open_in_new
visibility_off Unified Training of Universal Time Series Forecasting Transformers Gerald Woo, Chenghao Liu, Akshat Kumar, Cai-Ming Xiong, S. Savarese, Doyen Sahoo 2024-02-04 DBLP, ArXiv 829 38 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, Qing-Song Wen 2023-10-03 International Conference on Learning Representations, ArXiv 1262 17 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 Neural Information Processing Systems, ArXiv 561 63 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 150 63 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 57 open_in_new
visibility_off Graph State-Space Models and Latent Relational Inference Daniele Zambon, Andrea Cini, C. Alippi 2023-01-04 ArXiv 8 57 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 37 159 63 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 A Hybrid Attention Model Learning Unified Time-aware Patch Representation for Irregular Multivariate Time Series Forecasting Li Lin, Zhi-Hao Lin, Qi Zhang, Kai-Wen Xia, Shuai Wang, Jia-Lin Qiao 2026-09-19 ArXiv 0 6
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 AdaCast: Conditional Parameter Generation for Adaptive Time Series Forecasting Darahaas Nallagatla, Darryl C. Jacob, Pan He 2026-10-08 ArXiv 0 3
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 8
visibility_off Instance-Adaptive Prompts as Context for Time-Series Foundation Models Ze-Hao Xiao, Shi-Feng Xie, Lei Zan, Jian-Feng Zhang, Lu-Jia Pan, I. Redko, Malik Tiomoko, Ke-Li Zhang 2026-09-28 ArXiv 0 17
visibility_off GraphReformer: Information-Bottleneck-Driven Implicit Structural Inference for Efficient Transformer-Based Time Series Forecasting Zhi-Yuan Zuo, Zhao-Ming Tian, Xiao-Yu Cao, Yun-Chen Dong, Rong Jia 2026-08-01 2026 IEEE 22nd International Conference on Automation Science and Engineering (CASE) 0 10
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 MUSE: Dependency-Aware Adaptation of a Frozen Vision Backbone for Multivariate Time Series Forecasting Xin-Ying Cai, Jun-Kai Lu, Yu-Han Zhu, Xiao-Yun Yu, Xiangfei Qiu, Ji-Lin Hu 2026-09-21 ArXiv 0 29
visibility_off UMambaNet: a multi-scale mamba architecture for efficient multivariate time series forecasting Xiao-He Wu, Kun Zhang, Hui Chen, Chen-Xi Cai, Dian-Ying Chen 2026-09-22 The Journal of Supercomputing 0 7
visibility_off TAC-Time: Texts as Channels For Multimodal Time Series Forecasting Jiang-Yi Liang, Xiaotian Gu, Xin-Yue Xie, Yuanbin Wu, Xiao-Ling Wang 2026-09-21 ArXiv 0 4
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 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 Multi-Term Fourier Graph Neural Network with Sample Relationship Learning for Enhanced Remaining Useful Life Prediction Ya Song, Laurens Bliek, Yao-Xin Wu, Ying-Qian Zhang 2026-09-21 ArXiv 0 14
visibility_off Multi-Granular Embedding and Hybrid Encoder–Decoder Architecture with Temporal Linear Regression Bypass for Sensor-Based Time Series Forecasting in Smart Infrastructure Hsu-Yung Cheng, Huan-Hsuan Lin, Chi-Lun Jiang, Chih-Chang Yu 2026-09-01 Sensors (Basel, Switzerland) 0 20
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 12
visibility_off QiYao-I: A Manifold Based Foundation Model for Irregular Multivariate Time Series Forecasting Lin-Feng Wang, Rui-Tong Zhang, Kai Zhao, Yang Shu, Zhong-Wen Rao, Meng Wang, Yi-Jie Li, Bin Yang, Chen-Jun Guo 2026-10-03 ArXiv 0 13
visibility_off S2D2-Mamba: self-supervised disentanglement and dynamic graph mamba for long-term traffic flow prediction Xi Zhang, Bai-Ying Yang 2026-09-30 Measurement Science and Technology 0 1
visibility_off Rethinking Patch Based Multivariate Time Series Forecasting with Semantic Structured Partitioning Z. Huang, Jia-Zhen Wang, Lin-Jing Xue, Ming Liu, Mei-Wen Li, Rui-Juan Zheng 2026-08-20 ArXiv 0 6
visibility_off From Diversity to Uniformity: Cross-modal Time Series Modeling with Dependent Channel Grouping Min Cao, Hao Miao, Wen-Tao Zhang, Sen-Zhang Wang 2026-09-01 Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence 0 14
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, Ke-Li Zhang, Malik Tiomoko 2026-09-12 ArXiv 1 57
visibility_off FreSia: Frequency-semantic instantiation and alignment for multivariate time series analysis Yu-Bo Wang, Hui He, He-Zhe Qiao, Guo-Qing Ji, Zhen-Dong Niu 2026-09-01 Pattern Recognition 0 10
visibility_off Deep learning forecasting model and visual explanation for large-scale time-series data Ya-Zhi Tao 2026-09-29 Discover Computing 0 0
visibility_off In-Context Inpainting for Time Series Forecasting T. Nguyen, Dung Nguyen, Romero Morais, Truyen Tran 2026-08-24 ArXiv 0 8
visibility_off Neuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting Xiao-Han Jiang, Jing-Yuan Wang, Jia-Hao Ji, Yong-Yao Wang, Chen Yang, Jun-Jie Wu 2026-09-24 IEEE Transactions on Knowledge and Data Engineering 0 9
visibility_off WorldTS: World Modeling for Multimodal Covariate-aware Time Series Forecasting Yu-Han Zhu, Xiangfei Qiu, Han-Yin Cheng, Wang-Meng Shen, Chen-Juan Guo, Bin Yang, Ji-Lin Hu, Christian S. Jensen 2026-09-25 ArXiv 0 46
visibility_off Semantic Alignment-Driven Time Series Forecasting with Large Language Models Shu-Ting Yu, Jing-Xuan Huo, Yong-Xing Song, Jia-Hao Nie 2026-08-01 2026 6th International Conference on Computer Science and Blockchain (CCSB) 0 2
visibility_off Aurora-X: Built for Extreme Time Series Forecasting Xingjian Wu, Chen-Juan Guo, Xiangfei Qiu, Zhi-Gang Hu, Han-Yin Cheng, Peng Chen, Yang Shu, Ji-Lin Hu, Bin Yang 2026-09-25 ArXiv 0 46
visibility_off LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting Di Zhang, Jing-Yang Zhang, Zi-Qian Wang, Chi Zhang, Yi-Kun Ban, Zi-Wei Zhang, Rui-Jie Wang 2026-08-30 ArXiv 0 10
visibility_off WxFM-XL: Adapting Univariate Foundation Models to Multi-Station Weather Forecasting Xiao Wang, Chang-Jian Chen, Zhuo Tang, Rong Li, Hong-Wu Liu, Ken-Li Li 2026-10-07 ArXiv 0 6
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 1 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 Large Language Model Guided Series Saliency Module for Accurate and Interpretable Multivariate Time Series Forecasting Qing-Yi Pan, Li-Yuan Wang, Xiao-Yu Chen, Ning Chen 2026-10-01 Machine Learning 0 5
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 ASTPKEFormer: Adaptive Spatiotemporal Prior Knowledge Embedding-Induced Transformers for Traffic Data Forecasting Wenfeng Zhou, Xiao-Yun Xia, Xiang-Jie Kong, Guo-Jiang Shen, Bin Chen, Fei Wu, Bin-Bin Guo 2026-09-01 Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence 0 28
visibility_off ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning Jun Fang, Shi-Feng Xie, Rui-Chu Cai, Shengji Zheng, Zi-Jian Li, Ke-Li Zhang, Lu-Jia Pan, Themis Palpanas, Zhi-Feng Hao 2026-08-25 ArXiv 0 57
visibility_off MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters Chengao Shen, Wen-Chao Yu, Fang-Yu Wu, Dong-Jin Song, Hanghang Tong, Dong-Sheng Luo, Wei Cheng, Hai-Feng Chen, Jing-Chao Ni 2026-08-24 ArXiv 0 27
visibility_off CausalST: directed delay-aware graph neural networks for traffic flow prediction Ze-Ying Chai, Jing Liao, Li-Ming Jiang 2026-09-03 Measurement Science and Technology 0 3
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 1 12
visibility_off Generative dual-stream graph transformer for long-tailed traffic flow prediction Yuan-Zhang Wei, Jing-Lei Zhang, Meng-Xue Li, Yi-Da Zhang 2026-09-01 The Journal of Supercomputing 0 0
visibility_off SteerCast: Retrieval-Based Latent Steering for Decoder-Only Time Series Forecasting Van Dai Do, H. Nguyen, M. Nguyen, Hung Le 2026-10-08 ArXiv 0 3
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 16
visibility_off Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs D. Ji, Minkyoung Kim, Dongkuk Kim, Yo-Han Lee, Beomsoo Kim, Beakcheol Jang 2026-09-19 ArXiv 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
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index