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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gated Graph Sequence Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1511.05493/</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/1511.05493/feed.xml" rel="self" type="application/rss+xml" /><item><title>Gated Graph Sequence Neural Networks — mentioned by triplefloat</title><link>https://news.ycombinator.com/item?id=12695935</link><guid isPermaLink="false">urn:hackerpapers:mention:1511.05493:12695935</guid><pubDate>Wed, 12 Oct 2016 19:50:08 GMT</pubDate><description>&lt;p&gt;Very exciting extension of Neural Turing Machines. As a side note: Gated Graph Sequence Neural Networks (https://arxiv.org/abs/1511.05493) perform similarly or better on the bAbI tasks mentioned in the paper. The comparison to existing graph neural network models apparently didn&amp;#x27;t make it into the paper (sadly).&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1511.05493/"&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>
