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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Review on Fragment-based De Novo 2D Molecule Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2405.05293/</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/2405.05293/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Review on Fragment-based De Novo 2D Molecule Generation — mentioned by sergeyer</title><link>https://news.ycombinator.com/item?id=40597769</link><guid isPermaLink="false">urn:hackerpapers:mention:2405.05293:40597769</guid><pubDate>Thu, 06 Jun 2024 14:22:35 GMT</pubDate><description>&lt;p&gt;Location: Munich, Germany Remote: Yes (UTC+2), but I am open to hybrid or on-site. Willing to relocate: Yes, within Germany or Switzerland Technologies: PyTorch, PyTorch Geometric, LLMs, CI/CD (github actions), Docker, AWS, GCP, MLOps Résumé/CV: https://drive.google.com/file/d/1Mw9cBU_yl10wM8H00cAYEIeLzLf... Email: voloboeff201087@gmail.com Hi, I am Sergei Voloboev, a machine learning engineer with more than 3 years of experience. I am passionate about graph neural networks, with which I have recently done several projects in Siemens and Technical University of Munich. Currently, I am really…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2405.05293/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-bio.BM</category></item></channel></rss>
