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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Growing homophilic networks are natural navigable small worlds · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1507.06529/</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/1507.06529/feed.xml" rel="self" type="application/rss+xml" /><item><title>Growing homophilic networks are natural navigable small worlds — mentioned by andyxor</title><link>https://news.ycombinator.com/item?id=28790636</link><guid isPermaLink="false">urn:hackerpapers:mention:1507.06529:28790636</guid><pubDate>Thu, 07 Oct 2021 18:55:41 GMT</pubDate><description>&lt;p&gt;thanks so much for writing this, unlike LSH there are very few articles on HNSW for some reason, while it&amp;#x27;s one of the most efficient (and relatively simple) nearest neighbors search methods out there. There is a precursor paper by HNSW author which explains the rationale and has interesting links to network science and neuroscience: https://arxiv.org/abs/1507.06529 I personally think both LSH and HNSW should be added to standard CS curriculum because of generality and so many immediate practical applications.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1507.06529/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>physics.soc-ph</category></item></channel></rss>
