Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning-Reference-Cited by-同舟云学术

Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Guo Zhuoning¹,Liu Hao²,Zhang Le³,Zhang Qi⁴,Zhu Hengshu⁵,Xiong Hui²

Affiliation:

1. Harbin Institute of Technology & Baidu Inc., Harbin, China

2. The Hong Kong University of Science and Technology (Guangzhou) & The Hong Kong University of Science and Technology, Guangzhou, China

3. Baidu Inc, Beijing, China

4. University of Science and Technology of China & Baidu Inc., Hefei, China

5. Baidu Inc., Beijing, China

Funder

Foshan HKUST Projects

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539139

Reference38 articles.

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5. Peter Cappelli . 2008. Talent management for the twenty-first century. Harvard business review , Vol. 86 , 3 ( 2008 ), 74. Peter Cappelli. 2008. Talent management for the twenty-first century. Harvard business review, Vol. 86, 3 (2008), 74.

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