Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network-Reference-Cited by-同舟云学术

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:IEEE/WIC/ACM International Conference on Web Intelligence
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Author:

Gao Jianliang¹,Xu Cong¹,Huang Huiling¹,Ying Xiaoting¹,Li Zhao²,Zhang Peng³,Xiao Jie⁴,Zhang Jiarun⁵,Luo Jiangjian⁶

Affiliation:

1. Central South University, China

2. Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, China

3. Guangzhou University, China

4. Hangzhou Yugu Technology Co.,Ltd., China

5. University of California San Diego, United States

6. Zhejiang Chika Internet Technology Co.,Ltd., China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3498851.3499023

Reference24 articles.

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3. Yingmei Chen , Zhongyu Wei , and Xuanjing Huang . 2018 . Incorporating corporation relationship via graph convolutional neural networks for stock price prediction . In Proceedings of ACM International Conference on Information and Knowledge Management. 1655–1658 . Yingmei Chen, Zhongyu Wei, and Xuanjing Huang. 2018. Incorporating corporation relationship via graph convolutional neural networks for stock price prediction. In Proceedings of ACM International Conference on Information and Knowledge Management. 1655–1658.

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5. Fuli Feng , Huimin Chen , Xiangnan He , Ji Ding , Maosong Sun , and Tat-Seng Chua . 2019 . Enhancing stock movement prediction with adversarial training . In Proceedings of International Joint Conference on Artificial Intelligence. 5843–5849 . Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, and Tat-Seng Chua. 2019. Enhancing stock movement prediction with adversarial training. In Proceedings of International Joint Conference on Artificial Intelligence. 5843–5849.