<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bibliography on Noureddine RAMDI</title><link>https://ramdi.fr/tags/bibliography/</link><description>Recent content in Bibliography 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/bibliography/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><item><title>Navigating the evolving landscape of LLM-based multi-agent systems: A survey paper repository</title><link>https://ramdi.fr/github-stars/navigating-the-evolving-landscape-of-llm-based-multi-agent-systems-a-survey-paper-repository/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-evolving-landscape-of-llm-based-multi-agent-systems-a-survey-paper-repository/</guid><description>A curated and frequently updated bibliography accompanying the IJCAI 2024 survey paper on LLM-based multi-agent systems, organizing research into five key categories and revealing emerging trends.</description></item><item><title>Awesome-Deblurring: A comprehensive academic resource on image and video deblurring techniques</title><link>https://ramdi.fr/github-stars/awesome-deblurring-a-comprehensive-academic-resource-on-image-and-video-deblurring-techniques/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-deblurring-a-comprehensive-academic-resource-on-image-and-video-deblurring-techniques/</guid><description>Awesome-Deblurring compiles 100+ key papers tracing image and video deblurring from classical optimization to modern deep learning, serving as a go-to bibliography for researchers and developers.</description></item></channel></rss>