A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks

Chemical structure-aware molecular image representation learning

Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction

MSGCL: inferring miRNA-disease associations based on multi-view self-supervised graph structure contrastive learning

Ancient Character Recognition: A Novel Image Dataset of Shui Manuscript Characters and Classification Model

Fast Accurate Fish Recognition with?Deep Learning Based on?a?Domain-Specific Large-Scale Fish Dataset

Bioactive Peptide Recognition Based on NLP Pre-Train Algorithm

MGCPI: A Multi-granularity Neural Network for Predicting Compound-Protein Interactions

RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph

Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity