Molecule Prediction Innovations
Regina discusses groundbreaking advancements in predicting molecular properties using complex models that translate molecular graphs into embeddings. She highlights the exciting potential of modifying these embeddings to generate improved molecules, likening the process to machine translation. The conversation also touches on her journey through natural language processing, exploring the evolution of ideas and approaches before and after the rise of deep learning.In this clip
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