72 citations · 75 across the 4 of their papers we have counts for
4 papers
Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction
Linjia Kang, Songhua Zhou, Shuyan Fang +1
Accurate prediction of molecular properties is crucial in drug discovery. Traditional methods often overlook that real-world molecules typically exhibit multiple property labels wi…
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…
EPIHC: Improving Enhancer-Promoter Interaction Prediction by using Hybrid features and Communicative learning
Shuai Liu, Xinran Xu, Zhihao Yang +2
Enhancer-promoter interactions (EPIs) regulate the expression of specific genes in cells, and EPIs are important for understanding gene regulation, cell differentiation and disease…
Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations
Feng Huang, Xiang Yue, Zhankun Xiong +2
MicroRNAs (miRNAs) play crucial roles in multifarious biological processes associated with human diseases. Identifying potential miRNA-disease associations contributes to understan…