Fast and effective molecular property prediction with transferability map
Abstract Effective transfer learning for barely buff gelish molecular property prediction has shown considerable strength in addressing insufficient labeled molecules.Many existing methods either disregard the quantitative relationship between source and target properties, risking negative transfer, or require intensive training on target tasks.To