BOOK-CHAPTER

MKDTI: Predicting Drug-Target Interactions via Multiple Kernel Fusion on Graph Attention Network

Yuhuan ZhouYaqiu WangYulin WuQian ChenWeiwei YuanXuan WangJunyi Li

Year: 2025 Lecture notes in computer science Pages: 153-164   Publisher: Springer Science+Business Media
Keywords:
Computer science Kernel (algebra) Graph Artificial intelligence Theoretical computer science Mathematics Discrete mathematics

Metrics

1
Cited By
14.02
FWCI (Field Weighted Citation Impact)
32
Refs
0.96
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
Bioinformatics and Genomic Networks
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Machine Learning in Materials Science
Physical Sciences →  Materials Science →  Materials Chemistry

Related Documents

JOURNAL ARTICLE

Predicting Drug-Drug Interactions with Graph Attention Network

Jianjia WangCheng GuoXing Zheng Wu

Journal:   2022 26th International Conference on Pattern Recognition (ICPR) Year: 2022 Pages: 4953-4959
JOURNAL ARTICLE

Predicting Drug-Target Interactions Via Dual-Stream Graph Neural Network

Yuhui LiWei LiangPeng LiDafang ZhangYang ChengKuan‐Ching Li

Journal:   IEEE/ACM Transactions on Computational Biology and Bioinformatics Year: 2022 Vol: 21 (4)Pages: 948-958
© 2026 ScienceGate Book Chapters — All rights reserved.