<story><title>Graph Neural Networks – An Overview</title><url>https://theaisummer.com/Graph_Neural_Networks/</url></story><parent_chain></parent_chain><comment><author>asterisk_</author><text>The article seems to be a bit light on details for an &amp;quot;overview&amp;quot; of GNNs.&lt;p&gt;It&amp;#x27;s an area I&amp;#x27;ve recently been researching and they do seem to be gaining
a significant amount of traction. If anyone is interested in additional reading
material, I can suggest the very recent GNNs: Models and Applications (slide deck available on the website) [0].&lt;p&gt;There is also a fairly comprehensive GitHub repo on [1], though I
personally haven&amp;#x27;t given it a detailed look yet.&lt;p&gt;[0] &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;cse.msu.edu&amp;#x2F;~mayao4&amp;#x2F;tutorials&amp;#x2F;aaai2020&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;cse.msu.edu&amp;#x2F;~mayao4&amp;#x2F;tutorials&amp;#x2F;aaai2020&amp;#x2F;&lt;/a&gt;&lt;p&gt;[1] &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;benedekrozemberczki&amp;#x2F;awesome-graph-classification&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;benedekrozemberczki&amp;#x2F;awesome-graph-classif...&lt;/a&gt;</text></comment>
<story><title>Graph Neural Networks – An Overview</title><url>https://theaisummer.com/Graph_Neural_Networks/</url></story><parent_chain></parent_chain><comment><author>crashocaster</author><text>It should be noted that the described graph embedding related tasks are only a small subset of the tasks that GNNs solve. Many (if not most) graph learning techniques focus on more &amp;quot;local&amp;quot; tasks like node classification or edge prediction.</text></comment>