3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs

arXiv:2403.07179v1 Announce Type: new
Abstract: Generating molecules with desired properties is a critical task with broad applications in drug discovery and materials design. Inspired by recent advances in large language models, there is a growing interest in using natural language descriptions of molecules to generate molecules with the desired properties. Most existing methods focus on generating molecules that precisely match the text description. However, practical applications call for methods that generate diverse, and ideally novel, molecules with the desired properties. …

abstract advances applications arxiv cs.cl cs.lg design diffusion discovery drug discovery generate graphs language language models large language large language models materials modal molecules multi-modal natural natural language q-bio.bm text type