2026
Graph Diffusion Transformers are In-Context Molecular Designers
ICLR 2026poster
In-context learning lets large models adapt to new tasks from a few demonstrations, but it has shown limited success in molecular design, where labeled data are scarce and properties span millions of biological assays and material measurements. We introduce demonstration-conditioned diffusion models…