Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction

Linqian Zhao; Junliang Shang; Xianghan Meng; Xin He; Yuanyuan Zhang; Jin‐Xing Liu

doi:10.1007/s12539-024-00684-1

ScienceGate Book Chapters

JOURNAL ARTICLE

Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction

Linqian Zhao Junliang Shang Xianghan Meng Xin He Yuanyuan Zhang Jin‐Xing Liu

Year: 2025 Journal: Interdisciplinary Sciences Computational Life Sciences Vol: 17 (2)Pages: 409-423 Publisher: Springer Science+Business Media

DOI: 10.1007/s12539-024-00684-1

Get Full-Text PDF Get Analytical Report

Keywords:

Computational Science and Engineering Computer science Artificial neural network Drug Artificial intelligence Machine learning Drug-drug interaction Graph Theoretical computer science Pharmacology Medicine

Metrics

Cited By

15.06

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Biomedical Text Mining and Ontologies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction

Metrics

Citation History

Topics

Related Documents

MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction

Graph neural network-based drug-drug interaction prediction

Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction

Drug-Drug Interaction Event Prediction Based on Multi-Relational Enhanced Graph Neural Network

GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction