<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Teaching |</title><link>https://marcograssia.com/tags/teaching/</link><atom:link href="https://marcograssia.com/tags/teaching/index.xml" rel="self" type="application/rss+xml"/><description>Teaching</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 15 Apr 2025 09:00:00 +0200</lastBuildDate><image><url>https://marcograssia.com/media/icon_hu_81d5c56e320d80e2.png</url><title>Teaching</title><link>https://marcograssia.com/tags/teaching/</link></image><item><title>Deep Learning on Graphs · PhD course</title><link>https://marcograssia.com/event/bolzano-2025/</link><pubDate>Tue, 15 Apr 2025 09:00:00 +0200</pubDate><guid>https://marcograssia.com/event/bolzano-2025/</guid><description>&lt;p&gt;Invited lecturer for twelve hours of in-person teaching in English for the Computer Science
PhD programme. The course covered network science, graph neural networks, learning tasks on
graphs, pooling, link prediction, and applications to brain networks and network dismantling.&lt;/p&gt;</description></item></channel></rss>