<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Graph Representation Learning, Cognition and Reasoning | Shiyu Zhao</title><link>https://shiyu-zhao.netlify.app/tag/graph-representation-learning-cognition-and-reasoning/</link><atom:link href="https://shiyu-zhao.netlify.app/tag/graph-representation-learning-cognition-and-reasoning/index.xml" rel="self" type="application/rss+xml"/><description>Graph Representation Learning, Cognition and Reasoning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Wed, 31 Aug 2022 00:00:00 +0000</lastBuildDate><image><url>https://shiyu-zhao.netlify.app/media/icon_hu867a585147b75247feffacd78b93cf54_19940_512x512_fill_lanczos_center_2.png</url><title>Graph Representation Learning, Cognition and Reasoning</title><link>https://shiyu-zhao.netlify.app/tag/graph-representation-learning-cognition-and-reasoning/</link></image><item><title>LogicGNN: Logic Message Passing Graph Neural Network</title><link>https://shiyu-zhao.netlify.app/research/logicgnn/</link><pubDate>Wed, 31 Aug 2022 00:00:00 +0000</pubDate><guid>https://shiyu-zhao.netlify.app/research/logicgnn/</guid><description/></item></channel></rss>