<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Gcn on Balaraman Ravindran</title>
    <link>/~ravi/tags/gcn/</link>
    <description>Recent content in Gcn on Balaraman Ravindran</description>
    <generator>Source Themes academia (https://sourcethemes.com/academic/)</generator>
    <language>en-us</language>
    <copyright>Copyright &amp;copy; {year}</copyright>
    <lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate>
    
	    <atom:link href="/~ravi/tags/gcn/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>Cost-Sensitive Trees for Interpretable Reinforcement Learning</title>
      <link>/~ravi/publication/cost-sensitive-trees-for-interpretable-reinforcement-learning/</link>
      <pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
      
      <guid>/~ravi/publication/cost-sensitive-trees-for-interpretable-reinforcement-learning/</guid>
      <description></description>
    </item>
    
    <item>
      <title>HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers</title>
      <link>/~ravi/publication/heal_unlocking-the-potential-of-learning-on-hypergraphs-enriched-with-attributes-and-layers/</link>
      <pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
      
      <guid>/~ravi/publication/heal_unlocking-the-potential-of-learning-on-hypergraphs-enriched-with-attributes-and-layers/</guid>
      <description></description>
    </item>
    
    <item>
      <title>PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks</title>
      <link>/~ravi/publication/policyclustergcn-identifying-efficient-clusters-for-training-graph-convolutional-networks/</link>
      <pubDate>Sat, 23 Sep 2023 00:00:00 +0000</pubDate>
      
      <guid>/~ravi/publication/policyclustergcn-identifying-efficient-clusters-for-training-graph-convolutional-networks/</guid>
      <description></description>
    </item>
    
  </channel>
</rss>
