Topology-aware relational learning on heterogeneous networks for lncRNA-disease association prediction.
This approach efficiently decodes the complex interactive topologies between lncRNAs and human diseases through topology-aware network representation and equilibrium-driven distribution alignment and provides more effective theoretical guidance for interpreting lncRNA-mediated cellular control systems and discovering p...