A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs-Reference-Cited by-同舟云学术

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A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs

Published:2023-12 Issue: Volume:4 Page:100078
ISSN:2667-3185
Container-title:Artificial Intelligence in the Life Sciences
language:en
Short-container-title:Artificial Intelligence in the Life Sciences

Author:

Babaiha Negin Sadat,Elsayed Hassan,Zhang Bide,Kaladharan Abish,Sethumadhavan Priya,Schultz Bruce,Klein Jürgen,Freudensprung Bruno,Lage-Rupprecht Vanessa,Kodamullil Alpha Tom,Jacobs Marc,Geissler Stefan,Madan Sumit,Hofmann-Apitius Martin

Publisher

Elsevier BV

Subject

General Medicine

Reference112 articles.

1. Recent advances in biomedical literature mining;Zhao;Brief Bioinform,2021

2. Constructing knowledge graphs and their biomedical applications;Nicholson;Comput Struct Biotechnol J,2020

3. Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches;Crichton;BMC Bioinform,2018

4. DGLinker: flexible knowledge-graph prediction of disease–gene associations;Hu;Nucleic Acids Res,2021

5. Understanding the performance of knowledge graph embeddings in drug discovery;Bonner;Artif Intell Life Sci,2022

Cited by 1 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. Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions;Journal of Medical and Biological Engineering;2024-04

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