<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Graph Neural Networks on Noureddine RAMDI</title><link>https://ramdi.fr/tags/graph-neural-networks/</link><description>Recent content in Graph Neural Networks on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/graph-neural-networks/index.xml" rel="self" type="application/rss+xml"/><item><title>gnnpapers: the definitive curated reading list for graph neural network research</title><link>https://ramdi.fr/github-stars/gnnpapers-the-definitive-curated-reading-list-for-graph-neural-network-research/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gnnpapers-the-definitive-curated-reading-list-for-graph-neural-network-research/</guid><description>gnnpapers is a curated, community-recognized bibliography of 800+ must-read graph neural network papers. It organizes GNN research evolution and applications without any code.</description></item></channel></rss>