<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Graph Theory |</title><link>https://anthbapt.github.io/tags/graph-theory/</link><atom:link href="https://anthbapt.github.io/tags/graph-theory/index.xml" rel="self" type="application/rss+xml"/><description>Graph Theory</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://anthbapt.github.io/media/icon_hu_da05098ef60dc2e7.png</url><title>Graph Theory</title><link>https://anthbapt.github.io/tags/graph-theory/</link></image><item><title>Mining higher-order triadic interactions</title><link>https://anthbapt.github.io/publications/triadic-interactions-2025/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://anthbapt.github.io/publications/triadic-interactions-2025/</guid><description/></item><item><title>Cell-cell communications</title><link>https://anthbapt.github.io/projects/graph-rwr/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://anthbapt.github.io/projects/graph-rwr/</guid><description>&lt;p&gt;This project explores the use of random walk with restart (RWR) on tissue neighbourhood graphs to define cell–cell communication in the spatial transcriptomics context.&lt;/p&gt;
&lt;p&gt;Key contributions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Synthetic data generator&lt;/strong&gt;: Simulation of ligand-receptor signalling for benchmarking&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Practical methods&lt;/strong&gt;: Scalable RWR-based inference of communication patterns in spatial transcriptomics data&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Zoo Guide to Network Embedding</title><link>https://anthbapt.github.io/publications/zoo-guide-network-embedding-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://anthbapt.github.io/publications/zoo-guide-network-embedding-2023/</guid><description/></item></channel></rss>