Time-series forecasting

This page was last updated on 2025-12-15 06:14:13 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 300 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 141 56 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 45 53 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 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 552 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 132 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 423 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 376 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 International Conference on Learning Representations, ArXiv 662 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 391 56 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 98 56 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None DBLP 8 53 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 arXiv.org, ArXiv 8 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 Neural Information Processing Systems, Advances in Neural Information Processing Systems 37 57 56 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 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 Xihe: Scalable Zero-Shot Time Series Learner Via Hierarchical Interleaved Block Attention Yinbo Sun, Yuchen Fang, Zhibo Zhu, Jia Li, Yu Liu, Qiwen Deng, Jun Zhou, Hang Yu, Xingyu Lu, Lintao Ma 2025-10-20 ArXiv 0 6
visibility_off InvDec: Inverted Decoder for Multivariate Time Series Forecasting with Separated Temporal and Variate Modeling Yuhang Wang 2025-10-23 ArXiv 0 0
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 0
visibility_off HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting Andrey Savchenko, Oleg Kachan 2025-11-11 ArXiv 0 1
visibility_off Fighter: Unveiling the Graph Convolutional Nature of Transformers in Time Series Modeling Chen Zhang, Weixin Bu, Wendong Xu, Runsheng Yu, Yik-Chung Wu, Ngai Wong 2025-10-20 ArXiv 0 2
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 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 SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang 2025-10-27 ArXiv 0 37
visibility_off Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis Asal Meskin, Alireza Mirrokni, Ali Najar, Ali Behrouz 2025-11-02 ArXiv 0 0
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 MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting Shule Hao, Junpeng Bao, Wenli Li 2025-10-18 ArXiv 0 1
visibility_off DualMamba: a patch-based model with dual mamba for long-term time series forecasting Guang-Yu Wei, Hui-Chuan Huang, Zhi-Qing Zhong, Wen-Long Sun, Yong-Hao Wan, Ai-Min Feng 2025-10-21 Frontiers of Computer Science 0 0
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 SEMPO: Lightweight Foundation Models for Time Series Forecasting Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang 2025-10-22 ArXiv 0 9
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 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 MSTN: Fast and Efficient Multivariate Time Series Model Sumit Shevtekar, Chandresh Kumar Maurya, Gourab Sil 2025-11-25 ArXiv 0 7
visibility_off Position-Invariant Graph Convolutional Recurrent Network for Traffic Forecasting Xiao Liu, Shaohua Li, Weimin Li, Xiao Yu, Jingchao Wang, A. M. Luvembe, Quan-Ke Pan, Fangfang Liu 2025-12-01 IEEE Transactions on Intelligent Transportation Systems 0 14
visibility_off Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification Andreas Auer, Daniel Klotz, Sebastinan Bock, Sepp Hochreiter 2025-10-30 ArXiv 1 58
visibility_off Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction Atif Hassan, Tarun Kumar, Ashish Mishra, S. Serebryakov, Satish Kumar Mopur, Phanidhar Koganti, Murthy Chelankuri, Ramanagopal V. Vogety, Suparna Bhattacharya, Martin Foltin 2025-11-05 ArXiv 0 4
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 OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting Tingyue Pan, Mingyue Cheng, Shilong Zhang, Zhiding Liu, Xiaoyu Tao, Yucong Luo, Jintao Zhang, Qi Liu 2025-10-28 ArXiv 0 9
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 Evaluating Large Language Models for Turboshaft Engine Torque Prediction Alessandro Tronconi, David He, Eric Bechhoefer 2025-10-26 Annual Conference of the PHM Society 0 1
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 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 0 9
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 0 6
visibility_off Attentional Bi-LSTM for Multivariate Time Series Forecasting on Edge Devices: A Case Study on NanoPi Neo Plus2 Navid Hajizadeh, Saeed Yazdani, Sara Ershadi-Nasab 2025-10-28 2025 15th International Conference on Computer and Knowledge Engineering (ICCKE) 0 3
visibility_off IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data Dang Nha Nguyen, Hai Dang Nguyen, Khoa Tho Anh Nguyen 2025-11-11 ArXiv 0 0
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index