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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.01034/</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/2406.01034/feed.xml" rel="self" type="application/rss+xml" /><item><title>Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation — mentioned by scotty79</title><link>https://news.ycombinator.com/item?id=41164484</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.01034:41164484</guid><pubDate>Mon, 05 Aug 2024 19:18:49 GMT</pubDate><description>&lt;p&gt;What if instead of splines there were Fourier series or something like that? Would that be easier to infer and learn on GPU if it was somehow teachable? EDIT: FourierKAN exists https://arxiv.org/html/2406.01034v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.01034/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IR</category></item></channel></rss>
