Time-series forecasting

This page was last updated on 2025-10-06 06:11:53 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 222 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 124 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 42 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 25 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 466 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 118 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 336 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 293 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 544 12 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 341 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 81 52 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, arXiv.org 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 ArXiv, DBLP 39 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 BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Shiqiao Zhou, Holger Schoner, Huanbo Lyu, Edouard Fouch'e, Shuo Wang 2025-08-30 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 Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting Liran Nochumsohn, Raz Marshanski, Hedi Zisling, Omri Azencot 2025-09-18 ArXiv 0 14
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 Augmenting LLMs for General Time Series Understanding and Prediction Felix Parker, Nimeesha Chan, Chi Zhang, Kimia Ghobadi 2025-10-01 ArXiv 0 3
visibility_off EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting Sachith Abeywickrama, Emadeldeen Eldele, Min Wu, Xiaoli Li, Chau Yuen 2025-09-30 ArXiv 0 2
visibility_off General Incomplete Time Series Analysis via Patch Dropping Without Imputation Yangyang Wu, Yi Yuan, Mengying Zhu, Xiaoye Miao, Meng Xi 2025-09-01 DBLP 0 18
visibility_off Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng 2025-08-22 ArXiv 0 1
visibility_off VARMA-Enhanced Transformer for Time Series Forecasting Jiajun Song, Xiaoou Liu 2025-09-05 ArXiv 1 0
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 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 AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li 2025-09-01 ArXiv, DBLP 0 1
visibility_off Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data Jindong Han, Hao Wang, Hui Xiong, Hao Liu 2025-03-01 Proc. VLDB Endow. 0 14
visibility_off TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates Afrin Dange, Sunita Sarawagi 2025-09-17 ArXiv 0 7
visibility_off UniCast: A Unified Multimodal Prompting Framework for Time Series Forecasting Sehyuk Park, S. Han, Eduard Hovy 2025-08-16 ArXiv 0 18
visibility_off Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern Jiahong Xiong, Chengsen Wang, Haifeng Sun, Yuhan Jing, Qi Qi, Zirui Zhuang, Lei Zhang, Jianxin Liao, Jingyu Wang 2025-09-01 DBLP 1 25
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 Kairos: Towards Adaptive and Generalizable Time Series Foundation Models Kun Feng, Shaocheng Lan, Yuchen Fang, Wenchao He, Lintao Ma, Xingyu Lu, Kan Ren 2025-09-30 ArXiv 0 1
visibility_off MOMEMTO: Patch-based Memory Gate Model in Time Series Foundation Model Samuel Yoon, JongWon Kim, Juyoung Ha, Young Myoung Ko 2025-09-23 ArXiv 0 2
visibility_off Revisiting Multivariate Time Series Forecasting with Missing Values Jie Yang, Yifan Hu, Kexin Zhang, Luyang Niu, Yushun Dong, , Kaize Ding 2025-09-27 ArXiv 0 5
visibility_off Aurora: Towards Universal Generative Multimodal Time Series Forecasting Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo 2025-09-26 ArXiv 0 7
visibility_off FinCast: A Foundation Model for Financial Time-Series Forecasting Zhuohang Zhu, Haodong Chen, Qiang Qu, Vera Chung 2025-08-27 ArXiv 0 2
visibility_off TSGym: Design Choices for Deep Multivariate Time-Series Forecasting Shuang Liang, Chaochuan Hou, Xu Yao, Shiping Wang, Minqi Jiang, Songqiao Han, Hailiang Huang 2025-09-21 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 GateTS: Versatile and Efficient Forecasting via Attention-Inspired routed Mixture-of-Experts Kyrylo Yemets, Mykola Lukashchuk, Ivan Izonin 2025-08-24 ArXiv 0 4
visibility_off MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation Xiaoye Miao, Han Shi, Yi Yuan, Daozhan Pan, Yangyang Wu, Xiaohua Pan 2025-09-01 DBLP 0 18
visibility_off Estimating Time Series Foundation Model Transferability via In-Context Learning Qingren Yao, Ming Jin, Chengqi Zhang, Chao-Han Huck Yang, Jun Qi, Shirui Pan 2025-09-28 ArXiv 0 10
visibility_off StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting Zihao Wang, Yunjie Li, Lingmin Zan, Zheng Gong, Mengtao Zhu 2025-09-01 ArXiv 0 15
visibility_off STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting Jiayu Fang, Jessica Shao, Boris Choy, Junbin Gao 2025-08-19 ArXiv 0 3
visibility_off Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang 2025-09-26 ArXiv 0 18
visibility_off KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting Kuiye Ding, Fanda Fan, Zheya Wang, Hongxiao Li, Yifan Wang, Lei Wang, Chunjie Luo, Jianfeng Zhan 2025-10-02 ArXiv 0 6
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 A Time-Series Foundation Model by Universal Delay Embedding Zijian Wang, Peng Tao, Jifan Shi, Rui Bao, Rui Liu, Luonan Chen 2025-09-15 ArXiv 0 10
visibility_off Empowering PHM Applications with Time Series Foundation Models: A Unified Multi-Task Learning Approach Yongzi Yu, Feng Zhu, Di Wang, F. Tsung 2025-08-17 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE) 0 48
visibility_off TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang 2025-10-01 ArXiv 0 10
visibility_off LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting Qihong Pan, Haofei Tan, Guojiang Shen, Xiangjie Kong, Mengmeng Wang, Chenyang Xu 2025-09-01 DBLP 1 20
visibility_off SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting Shaoxun Wang, Xingjun Zhang, Qianyang Li, Jiawei Cao, Zhendong Tan 2025-09-14 ArXiv 0 1
visibility_off ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu 2025-09-27 ArXiv 0 18
visibility_off How Foundational are Foundation Models for Time Series Forecasting? Nouha Karaouli, Denis Coquenet, Elisa Fromont, Martial Mermillod, Marina Reyboz 2025-10-01 ArXiv 0 26
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index