<?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>Gmpnn on Forrest Chai</title><link>http://forrestchai.com/categories/gmpnn/</link><description>Recent content in Gmpnn on Forrest Chai</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 01 Dec 2024 00:00:00 +0000</lastBuildDate><atom:link href="http://forrestchai.com/categories/gmpnn/index.xml" rel="self" type="application/rss+xml"/><item><title>GMPNN-CS++: A Novel Dual-Contrasting Framework for Drug-Drug Interaction Prediction</title><link>http://forrestchai.com/posts/gmpnn-cs-plus-plus-paper/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><guid>http://forrestchai.com/posts/gmpnn-cs-plus-plus-paper/</guid><description>The proposed GMPNN-CS++ model introduces a dual-contrasting sampling approach and self-attention mechanism for DDI prediction, achieving 97% overall accuracy.</description></item></channel></rss>