Knowledge Graphs in Pharmacovigilance: A Scoping Review-Reference-Cited by-同舟云学术

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Knowledge Graphs in Pharmacovigilance: A Scoping Review

Published:2024-07 Issue:7 Volume:46 Page:544-554
ISSN:0149-2918
Container-title:Clinical Therapeutics
language:en
Short-container-title:Clinical Therapeutics

Author:

Hauben Manfred,Rafi Mazin^ORCID,Abdelaziz Ibrahim,Hassanzadeh Oktie

Publisher

Elsevier BV

Reference57 articles.

1. A knowledge-graph-based multimodal deep learning framework for identifying drug–drug interactions;Zhang;Molecules,2023

2. Integrating heterogeneous knowledge graphs into drug–drug interaction extraction from the literature;Asada;Bioinformatics,2023

3. Knowledge4COVID-19: a semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities;Sakor;J Web Semantics,2023

4. Predicting adverse drug effects: a heterogeneous graph convolution network with a multi-layer perceptron approach;Chen;PLOS ONE,2022

5. LaGAT: link-aware graph attention network for drug–drug interaction prediction;Hong;Bioinformatics,2022

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