<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Graphs and Geometry on Aldric Labarthe</title><link>https://aldric-l.github.io/research/graphs/</link><description>Recent content in Graphs and Geometry on Aldric Labarthe</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Sat, 31 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aldric-l.github.io/research/graphs/index.xml" rel="self" type="application/rss+xml"/><item><title>Aligning the Unseen in Attributed Graphs: Interplay between Graph Geometry and Node Attributes Manifold</title><link>https://aldric-l.github.io/research/graphs/aligning/</link><pubDate>Sat, 31 Jan 2026 00:00:00 +0000</pubDate><guid>https://aldric-l.github.io/research/graphs/aligning/</guid><description>Using a VAE framework, we investigate the potential misalignment between graph geometry and attributes geometry in attributed graphs.</description></item><item><title>Generating social networks with static and dynamic utility-maximization approaches</title><link>https://aldric-l.github.io/research/graphs/sms/</link><pubDate>Fri, 22 Nov 2024 00:00:00 +0000</pubDate><guid>https://aldric-l.github.io/research/graphs/sms/</guid><description>This paper offers a novel theoretical framework at the interface of physics and economics to understand and generate social networks.</description></item></channel></rss>