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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Graph Neural Networks: A Review of Methods and Applications · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1812.08434/</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/1812.08434/feed.xml" rel="self" type="application/rss+xml" /><item><title>Graph Neural Networks: A Review of Methods and Applications — mentioned by andreyk</title><link>https://news.ycombinator.com/item?id=31318433</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.08434:31318433</guid><pubDate>Mon, 09 May 2022 19:10:43 GMT</pubDate><description>&lt;p&gt;A survey paper is usually a good way to go, such as A comprehensive survey on graph neural networks (https://arxiv.org/abs/1901.00596) or Graph Neural Networks: A Review of Methods and Applications (https://arxiv.org/abs/1812.08434)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.08434/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Graph Neural Networks: A Review of Methods and Applications — mentioned by mfazalul</title><link>https://news.ycombinator.com/item?id=19137309</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.08434:19137309</guid><pubDate>Mon, 11 Feb 2019 19:10:37 GMT</pubDate><description>&lt;p&gt;The official docs have some of the details: https://danielegrattarola.github.io/spektral/data/ More about Graph NNs: https://arxiv.org/pdf/1812.08434.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.08434/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Graph Neural Networks: A Review of Methods and Applications — HN submission</title><link>https://news.ycombinator.com/item?id=18852974</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.08434:18852974</guid><pubDate>Tue, 08 Jan 2019 03:48:57 GMT</pubDate><description>&lt;p&gt;Graph Neural Networks: A Review of Methods and Applications&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;134 points; 15 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.08434/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
