JOURNAL ARTICLE

DrugDAGT: a dual-attention graph transformer with contrastive learning improves drug-drug interaction prediction

Keywords:
Biology Drug Drug target Transformer Machine learning Computational biology Artificial intelligence Pharmacology Computer science

Metrics

23
Cited By
18.17
FWCI (Field Weighted Citation Impact)
59
Refs
0.99
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
Advanced Graph Neural Networks
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Drug–drug interaction prediction based on graph contrastive learning and dual-view fusion

S. DingDongjiang NiuMingxuan LiZhixin ZhangZhen Li

Journal:   Computational Biology and Chemistry Year: 2025 Vol: 117 Pages: 108426-108426
JOURNAL ARTICLE

A Knowledge Graph-Based Method for Drug-Drug Interaction Prediction With Contrastive Learning

Jian ZhongHaochen ZhaoQichang ZhaoJianxin Wang

Journal:   IEEE/ACM Transactions on Computational Biology and Bioinformatics Year: 2024 Vol: 21 (6)Pages: 2485-2495
JOURNAL ARTICLE

Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer

Xiaorui SuPengwei HuZhu‐Hong YouPhilip S. YuLun Hu

Journal:   Proceedings of the AAAI Conference on Artificial Intelligence Year: 2024 Vol: 38 (1)Pages: 249-256
© 2026 ScienceGate Book Chapters — All rights reserved.