Time-series forecasting
This page was last updated on 2025-08-25 06:12:11 UTC
Manually curated articles on Time-series forecasting
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index | View recommendations |
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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 | 205 | 53 | 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 | 116 | 52 | 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 | 38 | 53 | 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. | 22 | 53 | open_in_new |
visibility_off | Graph Deep Learning for Time Series Forecasting | Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi | 2023-10-24 | ACM Computing Surveys | 19 | 53 | 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 | 413 | 17 | 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 | 107 | 6 | 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 | ArXiv, International Conference on Machine Learning | 281 | 14 | 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 | ArXiv, International Conference on Machine Learning | 248 | 29 | 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 | 467 | 12 | open_in_new |
visibility_off | Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series | Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam | 2024-01-08 | Neural Information Processing Systems, ArXiv | 44 | 4 | 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 | 320 | 52 | 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 | 78 | 52 | open_in_new |
visibility_off | AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs | Daniele Zambon, C. Alippi | None | DBLP | 7 | 53 | open_in_new |
visibility_off | Graph state-space models | Daniele Zambon, Andrea Cini, L. Livi, C. Alippi | 2023-01-04 | arXiv.org, ArXiv | 6 | 53 | 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 | DBLP, ArXiv | 28 | 52 | open_in_new |
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index | View recommendations |
Recommended articles on Time-series forecasting
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |
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visibility_off | Fusing Large Language Models with Temporal Transformers for Time Series Forecasting | Chen Su, Yuanhe Tian, Qinyu Liu, Jun Zhang, Yan Song | 2025-07-14 | ArXiv | 0 | 13 |
visibility_off | T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion | Abdul Monaf Chowdhury, Rabeya Akter, Safaeid Hossain Arib | 2025-08-06 | ArXiv | 0 | 2 |
visibility_off | Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment | Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, C. Kwoh, Min Wu | 2025-08-10 | ArXiv | 0 | 32 |
visibility_off | From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization | Xiaoyu Tao, Shilong Zhang, Mingyue Cheng, Daoyu Wang, Tingyue Pan, Bokai Pan, Changqing Zhang, Shijin Wang | 2025-08-08 | ArXiv | 0 | 3 |
visibility_off | Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection | Robert Leppich, Michael Stenger, André Bauer, Samuel Kounev | 2025-07-08 | ArXiv | 0 | 17 |
visibility_off | UniCA: Adapting Time Series Foundation Model to General Covariate-Aware Forecasting | Lu Han, Yu Liu, Qiwen Deng, Jian Jiang, Yinbo Sun, Zhe Yu, Binfeng Wang, Xingyu Lu, Lintao Ma, Han-Jia Ye, De-Chuan Zhan | 2025-06-27 | ArXiv | 0 | 7 |
visibility_off | TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection | Yuan-Cheng Yu, Yen-Chieh Ouyang, Chun-An Lin | 2025-07-31 | ArXiv | 0 | 1 |
visibility_off | DP-GPT4MTS: Dual-Prompt Large Language Model for Textual-Numerical Time Series Forecasting | Chanjuan Liu, Shengzhi Wang, Enqiang Zhu School of Computer Science, Technology, Dalian University of Technology, Dalian, China, Institute of Microstructure Technology, G. University, Guangzhou | 2025-08-06 | ArXiv | 0 | 5 |
visibility_off | DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework | Kuiye Ding, Fanda Fan, Yao Wang, Ruijie jian, Xiaorui Wang, Luqi Gong, Yishan Jiang, Chunjie Luo, Jianfeng Zhan | 2025-07-29 | ArXiv | 0 | 19 |
visibility_off | ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies | Itay Katav, A. Kontorovich | 2025-07-18 | ArXiv | 0 | 27 |
visibility_off | Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting | Xiangyue Zhang, Chao Li, Ling Ji, Yuyun Kang, Mingming Pan, Zhuo Liu, Qiang Qi | 2025-07-29 | Scientific Reports | 0 | 0 |
visibility_off | HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis | Xiao Wang, Hao Si, Fan Zhang, Xiaoya Zhou, Dengdi Sun, Wanli Lyu, Qingquan Yang, Jin Tang | 2025-08-04 | ArXiv | 0 | 2 |
visibility_off | CC-Time: Cross-Model and Cross-Modality Time Series Forecasting | Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo | 2025-08-17 | ArXiv | 0 | 33 |
visibility_off | Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives | Sixun Dong, Wei Fan, Teresa Wu, Yanjie Fu | 2025-06-30 | ArXiv | 0 | 7 |
visibility_off | TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling | Yifei Sun, Junming Liu, Yirong Chen, Xuefeng Yan, Ding Wang | 2025-08-13 | ArXiv | 0 | 2 |
visibility_off | Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting | Changlu Chen, Yanbin Liu, Chaoxi Niu, Ling Chen, Tianqing Zhu | 2025-07-14 | ArXiv | 0 | 6 |
visibility_off | UniCast: A Unified Multimodal Prompting Framework for Time Series Forecasting | Sehyuk Park, Soyeon Caren Han, Eduard Hovy | 2025-08-16 | ArXiv | 0 | 1 |
visibility_off | Semantic-Enhanced Time-Series Forecasting via Large Language Models | Hao Liu, Chun Yang, xiaoxing Zhang, Xiaobin Zhu | 2025-08-11 | ArXiv | 0 | 9 |
visibility_off | Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction | Mustafa Kamal, Niyaz Bin Hashem, Robin Krambroeckers, Nabeel Mohammed, Shafin Rahman | 2025-07-04 | ArXiv | 0 | 4 |
visibility_off | PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting | Tian Sun, Yuqi Chen, Weiwei Sun | 2025-08-19 | ArXiv | 0 | 1 |
visibility_off | Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting | Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James T. Kwok, Yuxuan Liang | 2025-08-04 | ArXiv | 0 | 3 |
visibility_off | TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting | Zhiyuan Zhao, Sitan Yang, Boris N. Oreshkin, Stan Vitebsky, Michael W. Mahoney, B. A. Prakash, Dmitry Efimov, Kin G. Olivares, Stan Viteb-sky | 2025-07-14 | ArXiv | 1 | 21 |
visibility_off | FlowState: Sampling Rate Invariant Time Series Forecasting | Lars Graf, Thomas Ortner, Stanislaw Wo'zniak, A. Pantazi | 2025-08-07 | ArXiv | 0 | 41 |
visibility_off | A Hybrid Framework Integrating Traditional Models and Deep Learning for Multi-Scale Time Series Forecasting | Zihan Liu, Zijia Zhang, Weizhe Zhang | 2025-06-28 | Entropy | 0 | 0 |
visibility_off | QuiZSF: An efficient data-model interaction framework for zero-shot time-series forecasting | Shichao Ma, Zhen-Qiang Zhou, Qihe Huang, Binwu Wang, Kuo Yang, Huan Li, Yang Wang | 2025-08-09 | ArXiv | 0 | 9 |
visibility_off | MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models | Yiwen Liu, Chenyu Zhang, Junjie Song, Siqi Chen, Sun Yin, Zihan Wang, Lingmin Zeng, Yuji Cao, Junming Jiao | 2025-07-08 | ArXiv | 0 | 1 |
visibility_off | Efficient Temporal Tokenization for Mobility Prediction with Large Language Models | Haoyu He, Haozheng Luo, Yan Chen, Qi R. Wang | 2025-07-18 | ArXiv | 0 | 2 |
visibility_off | DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting | Bing Fan, Shusen Ma, Yunan Zhao, Yu Kang | 2025-07-06 | ArXiv | 0 | 4 |
visibility_off | HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens | Ivan Karpukhin, Andrey Savchenko | 2025-08-02 | ArXiv | 0 | 2 |
visibility_off | Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting | Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin | 2025-07-20 | ArXiv | 0 | 5 |
visibility_off | Timestamp-Guided Knowledge Distillation for Robust Sensor-Based Time-Series Forecasting | Jiahe Yan, Honghui Li, Yanhui Bai, Jie Liu, Hairui Lv, Yang Bai | 2025-07-24 | Sensors (Basel, Switzerland) | 0 | 3 |
visibility_off | Kronos: A Foundation Model for the Language of Financial Markets | Yu Shi, Zongliang Fu, Shuo Chen, Bohan Zhao, Wei Xu, Changshui Zhang, Jian Li | 2025-08-02 | ArXiv | 0 | 1 |
visibility_off | A Unified Contrastive-Generative Framework for Time Series Classification | Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang | 2025-08-13 | ArXiv | 0 | 2 |
visibility_off | KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting? | Lingyu Jiang, Yuping Wang, Yao Su, Shuo Xing, Wenjing Chen, Xin Zhang, Zhengzhong Tu, Ziming Zhang, Fangzhou Lin, Michael R. Zielewski, Kazunori D. Yamada | 2025-08-03 | ArXiv | 0 | 7 |
visibility_off | CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting | Zhenkai Qin, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Jingxuan Jiang | 2025-07-15 | Frontiers in Artificial Intelligence | 0 | 1 |
visibility_off | Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting | Zekai Wang, Bing Yao | 2025-07-04 | ArXiv | 0 | 1 |
visibility_off | TransLLM: A Unified Multi-Task Foundation Framework for Urban Transportation via Learnable Prompting | Jiaming Leng, Yunying Bi, Chuan Qin, Bing Yin, Yanyong Zhang, Chao Wang | 2025-08-20 | ArXiv | 0 | 1 |
visibility_off | OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction | Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, Philip S. Yu | 2025-07-31 | ArXiv | 0 | 51 |
visibility_off | CauKer: classification time series foundation models can be pretrained on synthetic data only | Shifeng Xie, Vasilii Feofanov, Marius Alonso, Ambroise Odonnat, Jianfeng Zhang, Themis Palpanas, I. Redko | 2025-08-04 | ArXiv | 0 | 53 |
visibility_off | xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection | Kamil Faber, Marcin Pietroń, Dominik Żurek, Roberto Corizzo | 2025-06-28 | ArXiv | 1 | 19 |
visibility_off | Foundation Models for Demand Forecasting via Dual-Strategy Ensembling | Wei Yang, Defu Cao, Yan Liu | 2025-07-29 | ArXiv | 0 | 11 |
visibility_off | KFS: KAN based adaptive Frequency Selection learning architecture for long term time series forecasting | Changning Wu, Gao Wu, Rongyao Cai, Yong Liu, Kexin Zhang | 2025-08-01 | ArXiv | 0 | 5 |
visibility_off | MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling | E. L. Naour, Tahar Nabil, G. Agoua | 2025-07-17 | ArXiv | 0 | 3 |
visibility_off | DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecasting | Haonan Yang, Jianchao Tang, Zhuo Li, Long Lan | 2025-08-03 | ArXiv | 0 | 0 |
visibility_off | A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation | Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu | 2025-08-03 | Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 | 0 | 5 |
visibility_off | DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification | Zhipeng Liu, Peibo Duan, Binwu Wang, Xuan Tang, Qi Chu, Changsheng Zhang, Yongsheng Huang, Bin Zhang | 2025-07-06 | ArXiv | 0 | 2 |
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |