News-Driven Price Movement Forecasting with Label-Prior Graph Attention-Reference-Cited by-同舟云学术

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News-Driven Price Movement Forecasting with Label-Prior Graph Attention

Published:2024-05-13 Issue: Volume: Page:569-572
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Liu Yi-Ting¹^ORCID,Chen Chung-Chi²^ORCID,Huang Hen-Hsen³^ORCID,Chen Hsin-Hsi⁴^ORCID

Affiliation:

1. Graduate Program of Data Science, National Taiwan University, Taipei, Taiwan

2. AIST, Tokyo, Japan

3. Institute of Information Science, Academia Sinica, Taipei City, Taiwan

4. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

Funder

New Energy and Industrial Technology Development Organization

Ministry of Education, Taiwan

JSPS KAKENHI Grant

National Science and Technology Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651539

Reference29 articles.

1. Rohit Babbar and Bernhard Schölkopf. 2017. DiSMEC: Distributed Sparse Machines for Extreme Multi-Label Classification. In WSDM.

2. Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv (2017).

3. Kush Bhatia Himanshu Jain Purushottam Kar Manik Varma and Prateek Jain. 2015. Sparse Local Embeddings for Extreme Multi-label Classification.. In NeurIPS.

4. Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017. Enriching word vectors with subword information. TACL (2017).

5. Geometric Deep Learning: Going beyond Euclidean data

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