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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Hypergraph-Based Framework for Exploratory Business Intelligence · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2603.10625/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2603.10625/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Hypergraph-Based Framework for Exploratory Business Intelligence — HN submission</title><link>https://news.ycombinator.com/item?id=48556246</link><guid isPermaLink="false">urn:hackerpapers:submission:2603.10625:48556246</guid><pubDate>Tue, 16 Jun 2026 14:55:18 GMT</pubDate><description>&lt;p&gt;Show HN: Replicating a Harvard study on AI&amp;#x27;s employment impact – Autonomously&lt;/p&gt;&lt;p&gt;We used NeuGBI to replicate &amp;quot;Generative AI as Seniority-Biased Technological Change&amp;quot; (HBS, 2025) on the same Revelio Lab dataset — 300M U.S. employment records. The paper&amp;#x27;s finding: AI disproportionately affects junior positions (−29.4%) vs. senior (−5.8%). NeuGBI arrived at the same conclusion autonomously. One thing NeuGBI found that the paper didn&amp;#x27;t: within software development, it&amp;#x27;s specifically junior-level (L2) positions that nearly halved, not entry-level (L1). NeuGBI uses NeuG (a graph database with multi-hop relationship support) as its query engine, Hypergraph reconstruction for…&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2603.10625/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item></channel></rss>
