Unsupervised Semantic Representation Learning of Scientific Literature Based on Graph Attention Mechanism and Maximum Mutual Information

Author:

Gao Hongrui1,Li Yawen2,Liang Meiyu1,Guan Zeli1

Affiliation:

1. Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia School of Computer Science (National Pilot Software Engineering School),Beijing,100876

2. Beijing University of Posts and Telecommunications,School of Economics and Management,Beijing,100876

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference43 articles.

1. A Comprehensive Survey on Graph Neural Networks

2. Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs;shao,0

3. Seibert: A pretrained language model for scientific text;beltagy;arXiv preprint arXiv 1903 10067,2019

4. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;arXiv preprint arXiv 1810 04805,2018

5. Implicit discourse relation classification with syntax-aware contextualized word representations;popa;The Thirty-Second International FLAIRS Conference,2019

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