LNMGAT: a laplacian regularized pseudo-negative mining graph attention network for robust drug–target interaction prediction under multi-scenario cold-start settings
Computational drug–target interaction (DTI) prediction provides a scalable alternative to costly and time-consuming experimental screening, but its reliability is limited by the scarcity of experimentally verified negative interactions. In public DTI databases, most unobserved drug–target pairs are unlabeled rather tha...