Time-series forecasting

This page was last updated on 2025-08-18 06:12:37 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 201 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 ArXiv, International Conference on Learning Representations 115 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 ArXiv, Neural Information Processing Systems 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 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 410 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, arXiv.org 105 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 279 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 241 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 ArXiv, International Conference on Learning Representations 460 11 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 318 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 ArXiv, DBLP 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, arXiv.org 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 ArXiv, DBLP 29 52 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 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 SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs Fengze Li, Yue Wang, Yangle Liu, Ming Huang, Dou Hong, Jieming Ma 2025-06-24 ArXiv 0 2
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 1
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 Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? Sanjay Chakraborty, Ibrahim Delibasoglu, Fredrik Heintz 2025-06-24 ArXiv 0 6
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 16
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 an Jianfeng Zhan 2025-07-29 ArXiv 0 0
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 FeDaL: Federated Dataset Learning for Time Series Foundation Models Shengchao Chen, Guodong Long, Jing Jiang 2025-08-06 ArXiv 0 33
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 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 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 TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling Yifei Sun, Junming Liu, Ding Wang, Yirong Chen, Xuefeng Yan 2025-08-13 ArXiv 0 2
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 Time-Prompt: Integrated Heterogeneous Prompts for Unlocking LLMs in Time Series Forecasting Zesen Wang, Lijuan Lan, Yonggang Li 2025-06-21 ArXiv 0 10
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 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 ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Yilin Wang, Peixuan Lei, Jie Song, Yuzhe Hao, Tao Chen, Yuxuan Zhang, Lei Jia, Yuanxiang Li, Zhongyu Wei 2025-06-24 ArXiv 0 5
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 Does Multimodality Lead to Better Time Series Forecasting? Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, H. Rangwala, George Karypis, Bernie Wang 2025-06-20 ArXiv 0 37
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 6
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 AGGA-MVFLN: Multivariate Time Series Forecasting via Adaptive Generalized Graph Accompanied with Multi-View Learning in Frequency Domain Jierui Lei, Fangzheng Chen, Haina Tang 2025-06-30 Proceedings of the 2025 International Conference on Multimedia Retrieval 0 2
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 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 4
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
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index