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    <title>PyPI recent updates for hopwise</title>
    <link>https://pypi.org/project/hopwise/</link>
    <description>Recent updates to the Python Package Index for hopwise</description>
    <language>en</language>    <item>
      <title>0.9.1.post1</title>
      <link>https://pypi.org/project/hopwise/0.9.1.post1/</link>
      <description>_hopwise_ is an advanced extension of the Recbole library, designed to enhance recommendation systems with the power of knowledge graphs. By integrating knowledge embedding models, path-based reasoning methods, and path language modeling apporaches, hopwise supports both recommendation and link prediction tasks with a focus on interpretability and self-explanation.</description>
<author>jackm.medda@gmail.com, ludovico.boratto@acm.org, mirko.marras@acm.org, alessandrosoccol@gmail.com</author>      <pubDate>Thu, 10 Jul 2025 14:07:16 GMT</pubDate>
    </item>    <item>
      <title>0.9.1</title>
      <link>https://pypi.org/project/hopwise/0.9.1/</link>
      <description>_hopwise_ is an advanced extension of the Recbole library, designed to enhance recommendation systems with the power of knowledge graphs. By integrating knowledge embedding models, path-based reasoning methods, and path language modeling apporaches, hopwise supports both recommendation and link prediction tasks with a focus on interpretability and self-explanation.</description>
<author>jackm.medda@gmail.com, ludovico.boratto@acm.org, mirko.marras@acm.org, alessandrosoccol@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 14:24:34 GMT</pubDate>
    </item>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/hopwise/0.9.0/</link>
      <description>_hopwise_ is an advanced extension of the Recbole library, designed to enhance recommendation systems with the power of knowledge graphs. By integrating knowledge embedding models, path-based reasoning methods, and path language modeling apporaches, hopwise supports both recommendation and link prediction tasks with a focus on interpretability and self-explanation.</description>
<author>jackm.medda@gmail.com, ludovico.boratto@acm.org, mirko.marras@acm.org, alessandrosoccol@gmail.com</author>      <pubDate>Thu, 26 Jun 2025 22:10:42 GMT</pubDate>
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