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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RedisGraph GraphBLAS Enabled Graph Database · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1905.01294/</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/1905.01294/feed.xml" rel="self" type="application/rss+xml" /><item><title>RedisGraph GraphBLAS Enabled Graph Database — mentioned by chrisaycock</title><link>https://news.ycombinator.com/item?id=23286693</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.01294:23286693</guid><pubDate>Sat, 23 May 2020 21:34:22 GMT</pubDate><description>&lt;p&gt;RedisGraph uses GraphBLAS: https://github.com/RedisGraph/RedisGraph/ Their paper claims that computing with adjacency (sparse) matrices is more performant than alternatives: https://arxiv.org/pdf/1905.01294.pdf They compile queries written in Cypher (Neo4j&amp;#x27;s language) to operations in linear algebra. An example query is: MATCH (n:actor{name:&amp;quot;Nicolas Cage&amp;quot;})-[:act]-&amp;gt;(m:movie)&amp;lt;-[:act]-(a:actor) RETURN a.name, m.title&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.01294/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item></channel></rss>
