A Knowledge-Graph-Based Multimodal Deep Learning Framework for Identifying Drug–Drug Interactions
The identification of drug–drug interactions (DDIs) plays a crucial role in various areas of drug development. In this study, a deep learning framework (KGCN_NFM) is presented to recognize DDIs using coupling knowledge graph convolutional networks (KGCNs) with neural factorization machines (NFMs). A...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Molecules |
Subjects: | |
Online Access: | https://www.mdpi.com/1420-3049/28/3/1490 |