Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized Fingerprints

Molecular property prediction requires representations that generalize from limited labeled data to structurally novel compounds. Existing molecular pretraining methods often rely on a single view: graph-based approaches model atom-bond topology but provide limited fragment-level supervision, wherea