Time-series forecasting

This page was last updated on 2025-01-13 06:05:50 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 92 50 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 94 48 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 24 50 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. 14 50 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 214 14 open_in_new
visibility_off Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe X. Wang, Oleksii Tsepa, Jun Ma, Bo Wang 2024-02-01 ArXiv, arXiv.org 62 5 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 121 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 83 25 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 217 9 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 224 48 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 44 48 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None DBLP 6 50 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 ArXiv, arXiv.org 4 50 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 4 48 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 WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions Arash Hajisafi, M. Siampou, Bita Azarijoo, Cyrus Shahabi 2024-12-14 ArXiv 0 3
visibility_off UTSD: Unified Time Series Diffusion Model Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu 2024-12-04 ArXiv 0 3
visibility_off Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting S. T. Kakde, Rony Mitra, Jasashwi Mandal, Manoj Kumar Tiwari 2024-11-17 ArXiv 0 5
visibility_off In-Depth Review of Neural Network Architectures for Forecasting Heart Rate Time Series Data Ekaterina Popovska-Slavova, G. Georgieva-Tsaneva 2024-12-20 Innovative STEM Education 0 7
visibility_off ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Lei Zhang, Jianxin Liao 2024-12-16 ArXiv 0 27
visibility_off A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu 2024-12-01 ArXiv 0 3
visibility_off TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu, Meng Cao, Songcan Chen 2024-12-17 ArXiv 0 2
visibility_off PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Tongtong Zhang, Zhiyong Cui, Bingzhang Wang, Yilong Ren, Haiyang Yu, Pan Deng, Yinhai Wang 2024-12-18 ArXiv 0 3
visibility_off Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting Fanpu Cao, Shu Yang, Zhengjian Chen, Ye Liu, Laizhong Cui 2024-12-25 ArXiv 0 0
visibility_off MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting Yangyang Shi, Qianqian Ren, Yong Liu, Jianguo Sun 2024-11-26 ArXiv 0 0
visibility_off Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series Mingzhu Liu, Angela H. Chen, George H. Chen 2024-11-19 ArXiv 0 0
visibility_off Learning Latent Spaces for Domain Generalization in Time Series Forecasting Songgaojun Deng, M. D. Rijke 2024-12-15 ArXiv 0 14
visibility_off xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition Artyom Stitsyuk, Jaesik Choi 2024-12-23 ArXiv 0 1
visibility_off Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz, Ali Parviz, Mahdi Karami, Clayton Sanford, Bryan Perozzi, V. Mirrokni 2024-11-23 ArXiv 0 56
visibility_off DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis Ahmad Mohammadshirazi, Ali Nosratifiroozsalari, R. Ramnath 2024-12-01 ArXiv 0 23
visibility_off MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu, Meng Cao, Songcan Chen 2024-12-02 ArXiv 0 2
visibility_off Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction Syed Tahir Hussain Rizvi, Neel Kanwal, Muddasar Naeem, Alfredo Cuzzocrea, Antonio Coronato 2025-01-02 ArXiv 0 12
visibility_off TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models Jiahao Wang, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen 2024-11-24 ArXiv 1 12
visibility_off Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture Malay Pandey, Vaishali Jain, Nimit Godhani, S. N. Tripathi, Piyush Rai 2024-12-18 ArXiv 0 35
visibility_off Multi-Granularity Temporal Embedding Transformer Network for Traffic Flow Forecasting Jiani Huang, He Yan, Qixiu Chen, Yingan Liu 2024-12-01 Sensors (Basel, Switzerland) 0 1
visibility_off From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, Kibaek Kim 2024-11-21 ArXiv 0 3
visibility_off Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting Yuang Zhao, Tianyu Li, Jiadong Chen, Shenrong Ye, Fuxin Jiang, Tieying Zhang, Xiaofeng Gao 2024-11-26 ArXiv 0 1
visibility_off Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting Hongjun Wang, Jiyuan Chen, Lingyu Zhang, Renhe Jiang, Xuan Song 2024-11-18 ArXiv 0 19
visibility_off HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Shaohan Yu, Pan Deng, Yu Zhao, Junting Liu, Zi'ang Wang 2024-11-30 ArXiv 0 4
visibility_off QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning Hari Hara Suthan Chittoor, Paul Robert Griffin, Ariel Neufeld, Jayne Thompson, Mile Gu 2024-12-18 ArXiv 0 20
visibility_off GG-SSMs: Graph-Generating State Space Models Nikola Zubic, Davide Scaramuzza 2024-12-17 ArXiv 0 4
visibility_off Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Amirabbas Afzali, Hesam Hosseini, Mohmmadamin Mirzai, Arash Amini 2024-11-25 ArXiv 0 0
visibility_off A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting Nicholas Kiefer, Arvid Weyrauch, Muhammed Oz, Achim Streit, Markus Gotz, Charlotte Debus 2024-12-17 ArXiv 0 4
visibility_off Partial Transfer Learning from Patch Transformer to Variate-Based Linear Forecasting Model L. Anh, D. Vu, Seungmin Oh, Gwanghyun Yu, Nguyen Bui Ngoc Han, Hyoung‐Gook Kim, Jin-Sul Kim, Jin-Young Kim 2024-12-21 Energies 0 15
visibility_off FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain Zhengnan Li, Haoxuan Li, Hao Wang, Jun Fang, Duoyin Li Yunxiao Qin 2024-12-02 ArXiv 0 2
visibility_off MSAF: A Multi-Scale Attention-Fusion Model for Long-Term Cell-Level Network Traffic Prediction Xuesen Ma, Jingqi Li, Dacheng Li, Yangyu Li, Yan Qiao 2024-11-23 2024 6th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) 0 1
visibility_off Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan 2024-12-17 ArXiv 0 2
visibility_off Breaking the Context Bottleneck on Long Time Series Forecasting Chao Ma, Yikai Hou, Xiang Li, Yinggang Sun, Haining Yu, Zhou Fang, Jiaxing Qu 2024-12-21 ArXiv 0 4
visibility_off TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation Si-Nan Yang, Dong Wang, Haoqi Zheng, Ruochun Jin 2024-12-21 ArXiv 0 0
visibility_off Forecasting Influenza Like Illness based on White-Box Transformers Rujia Shen, Yaoxiong Lin, Boran Wang, Liangliang Liu, Yi Guan, Jingchi Jiang 2024-12-03 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 0 11
visibility_off On the Feasibility of Vision-Language Models for Time-Series Classification Vinay Prithyani, Mohsin Mohammed, Richa Gadgil, Ricardo Buitrago, Vinija Jain, Aman Chadha 2024-12-23 ArXiv 0 8
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index