Time-series forecasting

This page was last updated on 2026-08-10 06:37:27 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 519 56 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 183 62 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 57 56 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. 37 56 open_in_new
visibility_off Large Language Models Are Zero-Shot Time Series Forecasters N. Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson 2023-10-11 ArXiv, Neural Information Processing Systems 812 19 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 187 10 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, DBLP 811 16 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, DBLP 685 36 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 1102 15 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 520 62 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 137 62 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None Neural Information Processing Systems, Advances in Neural Information Processing Systems 35 9 56 open_in_new
visibility_off Graph State-Space Models and Latent Relational Inference Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 ArXiv 8 56 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 37 130 62 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 Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Morad Laglil, Bertrand Pracca, Emilie Devijver, Éric Gaussier 2026-07-25 ArXiv 0 14
visibility_off TS-RAG: Retrieval Augmented Generation for Time Series Forecasting Yixiong Xiao, Congxi Xiao, Jingbo Zhou 2026-08-06 ArXiv 1 5
visibility_off A survey of deep time series forecasting backbone architectures: progress, pitfalls, and a systematic comparison Xiang Li, Yanping Zheng, Zhewei Wei 2026-07-08 Frontiers of Computer Science 0 6
visibility_off Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Yongjun Xu, Xueqi Cheng, Fei Wang 2026-07-02 ArXiv 0 16
visibility_off RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting Sumit S. Shevtekar, Chandresh Kumar Maurya 2026-07-09 ArXiv 0 8
visibility_off A Hybrid Spatiotemporal Framework with Memory and Diffusion Convolution for Traffic Flow Prediction Xi Chen, Jiajia Chen 2026-07-20 Applied Artificial Intelligence Research 0 0
visibility_off Extreme Adaptive Transformer for Time Series Forecasting Sanjeev Shrestha, Hui Liu, Yifan Zhang 2026-07-02 ArXiv 0 4
visibility_off DFG-PatchTST: a dynamic fusion gated patch transformer for multicomponent time series forecasting Yunsen Zhou, Yinxin Bao, Quan Shi 2026-07-01 Applied Intelligence 0 7
visibility_off StateFlow: Dual-State Recurrent Modeling for Long-Horizon Time Series Forecasting Haroon Gharwi, Yue Dai, Kai Shu 2026-06-30 ArXiv 0 3
visibility_off Sample-efficient fine-tuning with textual prompts for time series forecasting Kaibin Wei, Jianqiang Jing, Jiawei Liu, Qing Liu, Xiannian Xie 2026-07-08 PLOS One 0 3
visibility_off Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting Falguni Ghosh, Vahid Hashemi, Bernhard Kainz 2026-06-22 ArXiv 0 2
visibility_off Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting Alireza Jafari, Judy Fox, Geoffrey C. Fox, M. Marathe, A. Adiga 2026-06-17 ArXiv 0 58
visibility_off TimEE: End-to-end Time Series Classification via In-Context Learning Jaris Kuken, Shi Bin Hoo, M. Mráz, Frank Hutter, Lennart Purucker 2026-07-08 ArXiv 0 10
visibility_off Learning Spatio-Temporal Foundation Models from Pure Synthetic Data Yutong Feng, Shiyuan Piao, Yutong Xia, Xu Liu, Wenqi Fan, F. Tsung, See-Kiong Ng, Yuxuan Liang 2026-06-27 ArXiv 0 49
visibility_off PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, He Yan, Dongkai Wang, Jun Wang, Yukun Zhang, Ruoxi Jiang, Zenglin Xu 2026-06-25 ArXiv 1 7
visibility_off GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Janak M. Patel, A. Deodhar, Dagnachew Birru 2026-06-26 ArXiv 0 7
visibility_off STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting Sicong Lai, Yuehong Hu, Siru Zhong, Sichao Qiao, Yuxuan Liang, Guangyin Jin 2026-07-14 ArXiv 0 9
visibility_off Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models Xilin Dai, Yiding Liu, Hongjie Xia, Yifan Hu, Zewei Dong, Jiangnan Yang, Qiang Xu 2026-06-12 ArXiv 1 17
visibility_off Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting Defu Cao, Zijie Lei, Muyan Weng, Jiao Sun, Yan Liu 2026-06-25 ArXiv 2 14
visibility_off Transformer-Based Architectures for Machinery Prognostics: A Review Maxime Pierfederici, M. Jha, Chetan S. Kulkarni, D. Theilliol 2026-07-03 PHM Society European Conference 0 12
visibility_off MFSNet: lightweight multi-scale MLP-guided frequency suppression network for multivariate time series forecasting Yaling Xun, Jiaxin Dou, Haifeng Yang, Jianghui Cai, Xing Wang 2026-07-31 International Journal of Machine Learning and Cybernetics 0 16
visibility_off HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling Wenqiang Ma, Chen Cheng, Xue Cheng, Jiarui Ye 2026-07-18 ArXiv 0 3
visibility_off Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space Di Wu, Huan Liu, Zhixiang Chi, Yuanhao Yu, Konstantinos N. Plataniotis, Yang Wang 2026-07-02 Trans. Mach. Learn. Res. 0 14
visibility_off SOHET: Sequence Of Heterogeneous Events Transformer with Self-Supervised Pre-Training Kees Jan de Vries, M. Radha, Mathijs de Jong 2026-06-19 ArXiv 0 9
visibility_off Robust Transformer-Based One-Step Stock Index Forecasting via Shifted Data Augmentation T. Thach 2026-06-14 ArXiv 0 6
visibility_off NeuroFlexMLP: A Low Complexity MLP Architecture for Long-Term Time Series Forecasting P. F. Pérez, Claudio Fiandrino, Marco Fiore, Joerg Widmer 2026-07-01 2026 Mediterranean Artificial Intelligence and Networking Conference (MAIN) 0 10
visibility_off Towards a Unified Generative Model for Scarce Time Series with Domain Experts Zihao Yao, Qijian Zheng, Jian-yong Zuo, Yaying Zhang 2026-06-13 ArXiv 0 3
visibility_off Leveraging Time Series Foundation Models Embeddings for Remaining Useful Life Prediction Ilias Abdouni, Alexandre Voisin, Christophe Cerisara 2026-07-03 PHM Society European Conference 0 4
visibility_off Spectral Retrieval-Augmented Time-Series Forecasting H. Nguyen, M. Nguyen, Dung Nguyen, Hung Le 2026-06-17 ArXiv 0 3
visibility_off A Foundation Model-Assisted Observability Framework for Multimodal Anomaly Detection Anastasios Zafeiropoulos, Gerasimos Mountakis, Grigorios Kakkavas, Ioannis Tzanettis, Alexandros-Panagiotis Stylos, Symeon Papavassiliou 2026-06-01 2026 IEEE 27th International Conference on High Performance Switching and Routing (HPSR) 0 12
visibility_off TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Fangxu Yu, Tao Feng, Dehai Min, Lu Cheng, Ge Liu, Tianyi Zhou 2026-07-09 ArXiv 1 7
visibility_off Multivariate Time Series Forecasting needs Cross Variable Loss Kuiye Ding, Yifan Hu, Hanchen Wang, Hao Xue 2026-08-06 ArXiv 0 4
visibility_off TFT-GCN: A Time-Frequency Based Model for Time Series Anomaly Detection Zhenchang Xia, Xusheng Xu, Libing Wu, Bingyi Liu, Long Yuan, Bolong Zheng 2026-09-01 IEEE Transactions on Knowledge and Data Engineering 0 15
visibility_off ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation X. Truong, T. Lê, T. Kieu, Thi-Thu Nguyen, N. Nguyen 2026-07-08 ArXiv 0 14
visibility_off Improving Coherence in Hierarchical Time Series Forecasting using Structured Temporal Fusion Ruchi Pakhle 2026-06-26 ArXiv 0 0
visibility_off Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection M. Uray, S. Messineo, Roland Kwitt, Stefan Huber 2026-07-14 ArXiv 0 5
visibility_off Revisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches L. Fertig, Lukas Kirchdorfer, Tobias Sesterhenn 2026-07-30 ArXiv 0 3
visibility_off MSCENet: A Multi-Scale Correlation Enhanced Network for Anomaly Detection Long Zhao, Shixun Ji, Zhipeng Wang, Bin Cheng, Bin He 2026-07-07 ArXiv 0 4
visibility_off Anomaly Detection in Multivariate Industrial Signals: LLMs, TSFMs, or Classical Deep Learning Allen Baranov, Sarah Alnegheimish, Alfredo Cuesta-Infante, Weizhong Yan, M. Abbaszadeh, K. Veeramachaneni 2026-07-03 PHM Society European Conference 0 38
visibility_off TA-SparseMG: Trend-Aware Sparse Forecasting via Multi-Scale Gating for Long-Term Time Series Wenchao Liu, Hongbing Wang, Youji Zhu, Xiaodong Liu, Xiang-guang Xiong 2026-06-26 ArXiv 0 9
visibility_off Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Xingsheng Chen, Deyu Yi, S. Yiu 2026-07-07 ArXiv 0 8
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index