Time-series forecasting

This page was last updated on 2025-07-28 06:13:24 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 178 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 114 51 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 36 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. 20 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 377 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 96 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 International Conference on Machine Learning, ArXiv 245 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 International Conference on Machine Learning, ArXiv 206 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 422 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 Neural Information Processing Systems, ArXiv 298 51 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 72 51 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 ArXiv, DBLP 26 51 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 Multi-Scale Finetuning for Encoder-based Time Series Foundation Models Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, P. Suganthan, Xudong Jiang, Savitha Ramasamy 2025-06-17 ArXiv 0 114
visibility_off Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition Mayank Bumb, Anshul Vemulapalli, Sri Harsha Vardhan Prasad Jella, Anish Gupta, An La, Ryan A. Rossi, Hongjie Chen, Franck Dernoncourt, Nesreen K. Ahmed, Yu Wang 2025-06-15 ArXiv 0 11
visibility_off FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting Yash Vijay, Harini Subramanyan 2025-06-05 ArXiv 0 0
visibility_off TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. A. Prakash 2025-06-06 ArXiv 0 10
visibility_off Zero-Shot Time Series Forecasting with Covariates via In-Context Learning Andreas Auer, Raghul Parthipan, Pedro Mercado, Abdul Fatir Ansari, Lorenzo Stella, Bernie Wang, Michael Bohlke-Schneider, Syama Sundar Rangapuram 2025-06-03 ArXiv 0 18
visibility_off TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval Jialin Chen, Ziyu Zhao, G. Nurbek, Aosong Feng, Ali Maatouk, L. Tassiulas, Yifeng Gao, Rex Ying 2025-06-10 ArXiv 0 14
visibility_off Binary Cumulative Encoding meets Time Series Forecasting Andrei Chernov, Vitaliy Pozdnyakov, Ilya Makarov 2025-05-30 ArXiv 0 3
visibility_off LETS Forecast: Learning Embedology for Time Series Forecasting Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi Gnvv, Nada Magdi Elkordi, Yin Li 2025-06-06 ArXiv 0 3
visibility_off Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo 2025-05-31 ArXiv 0 6
visibility_off ss-Mamba: Semantic-Spline Selective State-Space Model Zuochen Ye 2025-06-03 ArXiv 0 0
visibility_off AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan 2025-05-30 Frontiers in Artificial Intelligence 0 1
visibility_off Temporal Variational Implicit Neural Representations Batuhan Koyuncu, Rachael DeVries, Ole Winther, Isabel Valera 2025-06-02 ArXiv 0 3
visibility_off A Review of the Long Horizon Forecasting Problem in Time Series Analysis Hans Krupakar, A. KandappanV 2025-06-15 ArXiv 0 3
visibility_off M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model Hang Fana, Mingxuan Lib, Zuhan Zhanga, Long Chengc, Yujian Ye, Dunnan Liua 2025-05-31 ArXiv 0 0
visibility_off Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers Simon Roschmann, Quentin Bouniot, Vasilii Feofanov, I. Redko, Zeynep Akata 2025-06-10 ArXiv 0 13
visibility_off Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting Chamara Madarasingha, N. Sohrabi, Zahir Tari 2025-06-03 ArXiv 0 15
visibility_off CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values Kai Tang, Ji Zhang, Hua Meng, Minbo Ma, Qi Xiong, Fengmao Lv, Jie Xu, Tianrui Li 2025-06-16 ArXiv 0 7
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 A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting Jiankai Zheng, Liang Xie 2025-06-01 ArXiv 0 0
visibility_off SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates 2025-06-17 ArXiv 0 21
visibility_off Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao, T. Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng 2025-06-02 ArXiv 0 15
visibility_off MIRA: Medical Time Series Foundation Model for Real-World Health Data Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian 2025-06-09 ArXiv 0 4
visibility_off Multivariate Time-series Transformer Embeddings for Light Curves Gabriel Chiong, I. Becker, P. Protopapas 2025-06-13 ArXiv 0 35
visibility_off STFDSGCN: Spatio-Temporal Fusion Graph Neural Network Based on Dynamic Sparse Graph Convolution GRU for Traffic Flow Forecast Jiahao Chang, Jiali Yin, Yanrong Hao, Chengxin Gao 2025-05-30 Sensors (Basel, Switzerland) 0 2
visibility_off Regularized Adaptive Graph Learning for Large-Scale Traffic Forecasting Kaiqi Wu, Weiyang Kong, Sen Zhang, Yubao Liu, Zitong Chen 2025-06-08 ArXiv 0 7
visibility_off AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction Qianru Zhang, Honggang Wen, Ming Li, Dong Huang, S. Yiu, Christian S. Jensen, Pietro Liò 2025-06-19 ArXiv 0 6
visibility_off Multivariate Long-term Time Series Forecasting with Fourier Neural Filter Chenheng Xu, Dan Wu, Yixin Zhu, Yingqi Wu 2025-06-10 ArXiv 0 1
visibility_off Over-squashing in Spatiotemporal Graph Neural Networks Ivan Marisca, Jacob Bamberger, C. Alippi, Michael M. Bronstein 2025-06-18 ArXiv 0 53
visibility_off XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation Daichi Kimura, Tomonori Izumitani, Hisashi Kashima 2025-06-03 ArXiv 0 6
visibility_off Forecast-Then-Optimize Deep Learning Methods Jinhang Jiang, Nan Wu, Ben Liu, Mei Feng, Xin Ji, Karthik Srinivasan 2025-06-16 ArXiv 0 5
visibility_off A Survey of Retentive Network Haiqi Yang, Zhiyuan Li, Yi Chang, Yuan Wu 2025-06-07 ArXiv 0 4
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 2025-07-07 ArXiv 0 2
visibility_off Weight-Space Linear Recurrent Neural Networks Roussel Desmond Nzoyem, Nawid Keshtmand, Idriss N. Tsayem, David A.W. Barton, Tom Deakin 2025-06-01 ArXiv 0 4
visibility_off Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Jiahui Zhou, Dan Li, Lin Li, Zhuomin Chen, Shunyu Wu, Haozheng Ye, Jian Lou, C. Spanos 2025-06-01 ArXiv 0 54
visibility_off Harnessing Vision-Language Models for Time Series Anomaly Detection Zelin He, Sarah Alnegheimish, Matthew Reimherr 2025-06-07 ArXiv 0 7
visibility_off Spatio-temporal transformer and graph convolutional networks based traffic flow prediction Jin Zhang, Yimin Yang, Xiaoheng Wu, Sen Li 2025-07-07 Scientific Reports 0 0
visibility_off KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting Hang Ye, Gaoxiang Duan, Haoran Zeng, Yangxin Zhu, Lingxue Meng, Xiaoying Zheng, Yongxin Zhu 2025-06-10 ArXiv, DBLP 0 5
visibility_off Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism Zhiguo Xiao, Junli Liu, Xinyao Cao, Ke Wang, Dongni Li, Qian Liu 2025-06-26 Sensors (Basel, Switzerland) 0 1
visibility_off Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai 2025-06-08 ArXiv 0 2
visibility_off Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics Zijian Wang, Peng Tao, Luonan Chen 2025-06-13 ArXiv 0 5
visibility_off TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting Xiaoyan Kui, Canwei Liu, Qinsong Li, Zhipeng Hu, Yangyang Shi, Weixin Si, Beiji Zou 2025-06-15 ArXiv 0 10
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index