Knowledge graph completion aims to address knowledge gaps caused by difficulties in collecting real-world facts. This paper proposes a novel dual-view graph neural network model, DGE-ASR, which ...

The prediction of drug-target interactions (DTIs) has emerged as a vital step in drug discovery. Recently, biomedical knowledge graph enables the utilization of multi-omics resources for modelling ...

Do you think you know which species are most vulnerable in an ecosystem? A novel analytical method developed by Italian ...