Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph-Reference-Cited by-同舟云学术

Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph

Published:2018-06-27 Issue: Volume: Page:
ISSN:
Container-title:The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
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Author:

Jiang Zhuoren¹,Yin Yue²,Gao Liangcai³,Lu Yao¹,Liu Xiaozhong⁴

Affiliation:

1. Sun Yat-sen University, Guangzhou, China

2. Beijing Normal University, Beijing, China

3. Peking University, Beijing, China

4. Alibaba Group, Seattle & Hangzhou, China

Funder

Health & Medical Collaborative Innovation Project of Guangzhou City, China

Opening Project of State Key Laboratory of Digital Publishing Technology

National Natural Science Foundation of China

Guangdong Province Frontier and Key Technology Innovative Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3209978.3210032

Reference30 articles.

1. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio . 2015. Neural machine translation by jointly learning to align and translate Proceedings of the International Conference on Learning Representations (ICLR). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio . 2015. Neural machine translation by jointly learning to align and translate Proceedings of the International Conference on Learning Representations (ICLR).

2. Representation Learning: A Review and New Perspectives

3. Shaosheng Cao Wei Lu and Qiongkai Xu . 2015. Grarep: Learning graph representations with global structural information Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. ACM 891--900. 10.1145/2806416.2806512 Shaosheng Cao Wei Lu and Qiongkai Xu . 2015. Grarep: Learning graph representations with global structural information Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. ACM 891--900. 10.1145/2806416.2806512

4. Learning to rank

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