Adapt to small-scale and long-term time series forecasting with enhanced multidimensional correlation

Author:

Li Xinshuai,Luo SenlinORCID,Pan LiminORCID,Wu Zhouting

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference22 articles.

1. Chen, Q., & Robert, C.-Y. (2021). Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data. arXiv:2107.10941 [Cs, q-Fin]. http://arxiv.org/abs/2107.10941.

2. Modeling the momentum spillover effect for stock prediction via attribute-driven graph attention networks;Cheng,2021

3. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (arXiv:1810.04805; Version 2). arXiv. https://doi.org/10.48550/arXiv.1810.04805.

4. Temporal relational ranking for stock prediction;Feng;ACM Transactions on Information Systems,2019

5. LSTM with particle Swam optimization for sales forecasting;He;Electronic Commerce Research and Applications,2022

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