https://hackerpaper.kaipfister.de/p/2002.08264/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=22448750urn:hackerpapers:submission:2002.08264:22448750Sat, 29 Feb 2020 04:11:29 GMT<p>Molecule Attention Transformer</p><p>Paper: https://arxiv.org/abs/2002.08264 Explanation video: https://youtu.be/9qSEFFqdXdA Molecule attention transformer (MAT) is an interesting application of the transformer architecture on chemistry domain. MAT shows the very promising and intriguing results on the several molecule property prediction tasks and also paves the way for more adaptation of deep learning approaches in chemistry research.</p><p>2 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2002.08264/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG