[nicklo]

Graph convolutions are really powerful for handing structured data like chemical compositions. With the right corpus, I think this area is ripe for unsupervised feature representation learning approaches like what we've seen with BERT-like approaches and how they've dominated NLP in the past few years.

Side note: I worked with Kyle a few years ago on the MIT-MGH Deep Learning for Mammography project. I'm glad to see his work + brilliance being recognized.