<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Graph Machine Learning | CRiSS-LAB</title><link>https://criss-lab.com/tag/graph-machine-learning/</link><atom:link href="https://criss-lab.com/tag/graph-machine-learning/index.xml" rel="self" type="application/rss+xml"/><description>Graph Machine Learning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Fri, 15 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://criss-lab.com/media/sharing.png</url><title>Graph Machine Learning</title><link>https://criss-lab.com/tag/graph-machine-learning/</link></image><item><title>Network Science and Complex Systems</title><link>https://criss-lab.com/teaching/network-science-complex-systems/</link><pubDate>Fri, 15 May 2026 00:00:00 +0000</pubDate><guid>https://criss-lab.com/teaching/network-science-complex-systems/</guid><description>&lt;p>This course introduces network science as a technical and conceptual language for studying social, technological, biological, and organizational systems. Students work with graph construction, centrality, communities, null models, diffusion, link prediction, and graph-based machine learning.&lt;/p>
&lt;p>The public course site is available at &lt;a href="https://networks.criss-lab.com/" target="_blank" rel="noopener">networks.criss-lab.com&lt;/a>.&lt;/p></description></item></channel></rss>