A Knowledge-Graph-Based Multimodal Deep Learning Framework for Identifying Drug–Drug Interactions

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...

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Bibliographic Details
Main Authors:	Jing Zhang, Meng Chen, Jie Liu, Dongdong Peng, Zong Dai, Xiaoyong Zou, Zhanchao Li
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Molecules
Subjects:	drug-drug interaction prediction knowledge graph convolutional networks neural factorization machines
Online Access:	https://www.mdpi.com/1420-3049/28/3/1490

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