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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Graph Convolutional Neural Networks for Web-Scale Recommender Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1806.01973/</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/1806.01973/feed.xml" rel="self" type="application/rss+xml" /><item><title>Graph Convolutional Neural Networks for Web-Scale Recommender Systems — mentioned by stygiansonic</title><link>https://news.ycombinator.com/item?id=19728524</link><guid isPermaLink="false">urn:hackerpapers:mention:1806.01973:19728524</guid><pubDate>Tue, 23 Apr 2019 13:50:58 GMT</pubDate><description>&lt;p&gt;This related paper gives a great overview of ML methods on graphs: https://arxiv.org/abs/1709.05584 It was written by the authors of GraphSAGE, who also implemented it at Pinterest: https://arxiv.org/abs/1706.02216 and https://arxiv.org/abs/1806.01973&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1806.01973/"&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>
