NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug–disease association prediction

Author:

Zhang PeiliangORCID,Che ChaoORCID,Jin BoORCID,Yuan JinglingORCID,Li RuixinORCID,Zhu YongjunORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference50 articles.

1. Global explainability of gnns via logic combination of learned concepts;Azzolin,2023

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3. Drug repositioning based on the heterogeneous information fusion graph convolutional network;Cai;Briefings in Bioinformatics,2021

4. Matrix factorization-based technique for drug repurposing predictions;Ceddia;IEEE Journal of Biomedical and Health Informatics,2020

5. Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing;Chen;Nature Genetics,2023

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1. KSGTN-DDI: Key Substructure-aware Graph Transformer Network for Drug-drug Interaction Prediction;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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