<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>gnn on Gaia Lab · Blog</title><link>https://blog.defectiv.es/en/tags/gnn/</link><description>Recent content in gnn on Gaia Lab · Blog</description><generator>Hugo</generator><language>en-GB</language><lastBuildDate>Wed, 23 Sep 2026 09:00:00 +0200</lastBuildDate><atom:link href="https://blog.defectiv.es/en/tags/gnn/index.xml" rel="self" type="application/rss+xml"/><item><title>GNNs for a lagoon's chlorophyll: does the graph add anything?</title><link>https://blog.defectiv.es/en/posts/gnn-para-la-clorofila-de-una-laguna-y-un-piloto-de-automl/</link><pubDate>Tue, 22 Sep 2026 14:00:00 +0200</pubDate><guid>https://blog.defectiv.es/en/posts/gnn-para-la-clorofila-de-una-laguna-y-un-piloto-de-automl/</guid><description>&lt;p&gt;Eighth instalment of &lt;strong&gt;Cluster X-ray&lt;/strong&gt;. In the &lt;a href="https://blog.defectiv.es/en/posts/que-corre-de-verdad-en-nuestro-cluster/"&gt;overview post&lt;/a&gt;&#10; this line appeared as intrusion detection. The scripts tell a different story: the graph networks are &lt;strong&gt;environmental&lt;/strong&gt;, and intrusion detection arrives in September as a pilot.&lt;/p&gt;&#10;&lt;h2 id="the-question"&gt;The question &lt;a class="hanchor" href="#the-question" aria-label="Enlace a esta sección"&gt;#&lt;/a&gt;&lt;/h2&gt;&#10;&lt;p&gt;Chlorophyll concentration is the most direct indicator of the state of a coastal lagoon: it anticipates eutrophication episodes and blooms. It can be estimated from satellite, but the relationship between reflectance and chlorophyll depends on the place, the moment and what is happening around it. The line asks &lt;strong&gt;whether a graph neural network that connects points of the lagoon in space and time predicts better than tabular models, and, above all, whether the graph contributes real information or merely acts as a smoother.&lt;/strong&gt;&lt;/p&gt;</description></item></channel></rss>