105 citations · 116 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 105 cited
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin, Lichang Dai, Yafang Zhou +9
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially…
q-bio.BM2022★ 11 cited
Deep learning for drug repurposing: methods, databases, and applications
Xiaoqin Pan, Xuan Lin, Dongsheng Cao +5
Drug development is time-consuming and expensive. Repurposing existing drugs for new therapies is an attractive solution that accelerates drug development at reduced experimental c…