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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1905.00067/</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/1905.00067/feed.xml" rel="self" type="application/rss+xml" /><item><title>MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing — mentioned by pfd1986</title><link>https://news.ycombinator.com/item?id=19841266</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.00067:19841266</guid><pubDate>Mon, 06 May 2019 16:54:24 GMT</pubDate><description>&lt;p&gt;This is great! Looking fwd to your book on graph database ML. In case you&amp;#x27;ve been using Graph Convolutions, this might be interesting / useful for you: [https://arxiv.org/abs/1905.00067] arxiv.org/abs/1905.00067&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.00067/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
