<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Molecular Graph Convolutions: Moving Beyond Fingerprints · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1603.00856/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1603.00856/feed.xml" rel="self" type="application/rss+xml" /><item><title>Molecular Graph Convolutions: Moving Beyond Fingerprints — mentioned by wjn0</title><link>https://news.ycombinator.com/item?id=19735094</link><guid isPermaLink="false">urn:hackerpapers:mention:1603.00856:19735094</guid><pubDate>Wed, 24 Apr 2019 02:38:28 GMT</pubDate><description>&lt;p&gt;Yes. This problem is of particular importance in drug response prediction, where small molecules are represented as graphs where the atoms are nodes and the bonds are edges. These are difficult to work with because of the variability in the number of nodes. [1] https://arxiv.org/abs/1509.09292 [2] https://arxiv.org/abs/1603.00856 [3] http://proceedings.mlr.press/v48/niepert16.html [4] https://persagen.com/files/misc/xu2017seq2seq.pdf (PDF)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1603.00856/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
