Time-series forecasting

This page was last updated on 2026-01-05 06:15:49 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 323 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 142 57 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 47 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 28 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 565 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.org, ArXiv 138 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 434 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 384 33 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 683 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 402 57 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 ArXiv, DBLP 99 57 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.org, ArXiv 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 58 57 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 STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions Junjie Fan, Hongye Zhao, Linduo Wei, Jiayu Rao, Guijia Li, Jiaxin Yuan, Wenqi Xu, Yong Qi 2025-12-04 ArXiv 0 1
visibility_off FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting Ya-Nan Lyu, Hao Zhou, Lu Zhang, Xu Yang, Zhiyong Liu 2025-11-29 ArXiv 0 12
visibility_off Tiny-TSM: Efficiently Training a Lightweight SOTA Time Series Foundation Model Felix Birkel 2025-11-24 ArXiv 0 1
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 BiSTAG-TS: a dual-stream generative framework for symbolic–numerical time series forecasting via large language models Ruidi Yang, Yuxing Mao, Hengyu Yan, Zijie Wei, Jian Li, Jianyu Pan 2025-12-01 The Journal of Supercomputing 0 3
visibility_off HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting Andrey Savchenko, Oleg Kachan 2025-11-11 ArXiv 0 1
visibility_off Quantum-enhanced dual-layer graph attention network for time-series forecasting Yongli Tang, Zhongqi Cai, Yue Zhang, Zhenlun Gao, Jinxia Yu 2025-11-14 Scientific Reports 1 1
visibility_off MSTN: Fast and Efficient Multivariate Time Series Prediction Model Sumit S Shevtekar, Chandresh Kumar Maurya, Gourab Sil 2025-11-25 ArXiv 0 7
visibility_off AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 8
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 Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models Xingyu Liu, Min Gao, Zongwei Wang, Yinbing Bai 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 9
visibility_off A Causal-Guided Multimodal Large Language Model for Generalized Power System Time-Series Data Analytics Zhenghao Zhou, Yiyan Li, Xinjie Yu, Runlong Liu, Zelin Guo, Zheng Yan, Mo-Yuen Chow, Yuqi Yang, Yang Xu 2025-11-11 ArXiv 0 2
visibility_off EAPformer: Entropy-Aware Patch Transformer for Multivariate Long-Term Time Series Forecasting Jiahao Ling, Xuan Yang, Shiming Gong, Bo Gu 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 11
visibility_off EMAformer: Enhancing Transformer through Embedding Armor for Time Series Forecasting Zhiwei Zhang, Xinyi Du, Xuanchi Guo, Weihao Wang, Wenjuan Han 2025-11-11 ArXiv 0 2
visibility_off TimeSense:Making Large Language Models Proficient in Time-Series Analysis Zhirui Zhang, Changhua Pei, Tianyi Gao, Zhe Xie, Yibo Hao, Zhaoyang Yu, Longlong Xu, Tong Xiao, Jing Han, Dan Pei 2025-11-09 ArXiv 0 11
visibility_off Time Series Forecasting via Direct Per-Step Probability Distribution Modeling Linghao Kong, Xiaopeng Hong 2025-11-28 ArXiv 0 0
visibility_off Moirai 2.0: When Less Is More for Time Series Forecasting Chenghao Liu, Taha İbrahim Aksu, Juncheng Liu, Xu Liu, Hanshu Yan, Quang Pham, Doyen Sahoo, Caiming Xiong, Silvio Savarese, Junnan Li 2025-11-12 ArXiv 1 33
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 PeriodNet: Boosting the Potential of Attention Mechanism for Time Series Forecasting Bowen Zhao, Huanlai Xing, Zhiwen Xiao, Jincheng Peng, Li Feng, Xinhan Wang, Rong Qu, Hui Li 2025-11-23 ArXiv 0 19
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 The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models Xin Qiu, Junlong Tong, Yirong Sun, Yunpu Ma, Xiaoyu Shen 2025-11-10 ArXiv 0 4
visibility_off APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang 2025-11-17 ArXiv 0 13
visibility_off GPT-2-Augmented Sequence Modeling for Short-Term Load Forecasting Kun Xu, Ying Wang, Shuomin Wu, Wenjing Zhang, Jingxiao Jingxiao, Jiang, Kaifeng Zhang 2025-11-07 2025 IEEE China International Youth Conference on Electrical Engineering (CIYCEE) 0 13
visibility_off LiteMixer: Scalable, Low-Overhead Multi-Scale Mixing for Time Series Forecasting Issam Ait Yahia, Abdelkader El Mahdaouy, Soufiane Oualil, Ismail Berrada 2025-11-25 2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM) 0 3
visibility_off TS2Vec-Ensemble: An Enhanced Self-Supervised Framework for Time Series Forecasting Ganeshan Niroshan, Uthayasanker Thayasivam 2025-11-27 ArXiv 0 12
visibility_off Zero-shot forecasting of optical network telemetry using large language models K. Abdelli 2025-11-12 Journal of Optical Communications and Networking 0 9
visibility_off Are Time-Indexed Foundation Models the Future of Time Series Imputation? E. L. Naour, Tahar Nabil, Adrien Petralia, G. Agoua 2025-11-08 ArXiv 0 4
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 MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting Qin Shi, Chu Xu, Zongtang Hu, Dong Shen, Dapeng Sun, Lijun Quan 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 11
visibility_off MAC2STI: Mamba network with autoregressive clustering for two-stage spatio-temporal imputation Jinyu Fan, Jun Ma, Hongtao Gai 2025-11-25 Complex & Intelligent Systems 0 0
visibility_off Extracting Global Temporal Patterns Within Short Look-Back Windows for Traffic Forecasting Bo Sun, Zhe Wu, Zhiyuan Deng, Li Su, Qingfang Zheng 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 2
visibility_off Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting Yifan Gao, Boming Zhao, Haocheng Peng, Hujun Bao, Jiashu Zhao, Zhaopeng Cui 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 1 9
visibility_off HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting Dejiang Zhang, Lianyong Qi, Yuwen Liu, Xucheng Zhou, Jianye Xie, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Yang Cao, Yang Zhang 2025-11-10 Proceedings of the 34th ACM International Conference on Information and Knowledge Management 0 14
visibility_off Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting Christopher Cheong, Gary Davis, Seongjin Choi 2025-11-12 ArXiv 0 1
visibility_off CometNet: Contextual Motif-guided Long-term Time Series Forecasting Weixu Wang, Xiaobo Zhou, Xin Qiao, Lei Wang, Tie Qiu 2025-11-11 ArXiv 0 5
visibility_off COLLAR: combating low-rank temporal latent representation for high-dimensional multivariate time series prediction using dynamic Koopman regularization Qifa Peng, Simin An, Siyu Nie, Yong Su 2025-11-21 Journal of Big Data 1 6
visibility_off IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data Dang Nha Nguyen, Hai Dang Nguyen, K. N. A. Nguyen 2025-11-11 ArXiv 0 0
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index