Symbolic Neural Generation with Applications to Lead Discovery in Drug Design 事件

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design arXiv:2510.23379v2 Announce Type: replace-cross Abstract: We investigate a relatively under-explored class of hybrid neurosymbolic models that integrate symbolic learning with neural reasoning to construct data generators meeting formal correctness criteria. In Symbolic Neural Generators (SNGs), symbolic learners examine logical specifications of feasible data from a small set of instances -- sometimes just one. Each