ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora-Reference-Cited by-同舟云学术

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ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the First Workshop on Scholarly Document Processing
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Author:

Basu Sayantan,Chakraborty Sinchani,Hassan Atif,Siddique Sana,Anand Ashish

Publisher

Association for Computational Linguistics

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Link Prediction in Knowledge Graphs (and its Relation to RDF2vec);Synthesis Lectures on Data, Semantics, and Knowledge;2023

3. Scholarly knowledge graphs through structuring scholarly communication: a review;Complex & Intelligent Systems;2022-08-09

4. Data Models for Annotating Biomedical Scholarly Publications: the Case of CORD-19;Companion Proceedings of the Web Conference 2022;2022-04-25

5. Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin?;Semantic Web;2022-04-06

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