105 citations · 175 across the 3 of their papers we have counts for
3 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…
cs.LG2022★ 2 cited
Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity
Zhaoyang Chu, Shichao Liu, Wen Zhang
The identification of drug-target binding affinity (DTA) has attracted increasing attention in the drug discovery process due to the more specific interpretation than binary intera…
cs.LG2021★ 68 cited
HampDTI: a heterogeneous graph automatic meta-path learning method for drug-target interaction prediction
Hongzhun Wang, Feng Huang, Wen Zhang
Motivation: Identifying drug-target interactions (DTIs) is a key step in drug repositioning. In recent years, the accumulation of a large number of genomics and pharmacology data h…