https://hackerpaper.kaipfister.de/p/2003.10536/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=44430115urn:hackerpapers:mention:2003.10536:44430115Tue, 01 Jul 2025 02:48:06 GMT<p>This was a hot topic in 2019-2020 and I just thought I‘ve read an article like this back then from NYU and another from the National University of Singapore, because I and many others were at the time independently working on graph problems using Transformers [0,1]. Turns out this article _is_ the one from NYU, just on arxiv now: https://graphdeeplearning.github.io/post/transformers-are-gn... [0] e.g. https://arxiv.org/abs/2003.10536, [1] ProteinMPNN, Dauparas et al.</p><p><a href="https://hackerpaper.kaipfister.de/p/2003.10536/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG