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    <title>PyPI recent updates for SGtSNEpiPy</title>
    <link>https://pypi.org/project/sgtsnepipy/</link>
    <description>Recent updates to the Python Package Index for SGtSNEpiPy</description>
    <language>en</language>    <item>
      <title>1.1.5</title>
      <link>https://pypi.org/project/sgtsnepipy/1.1.5/</link>
      <description>SGtSNEpiPy is a Python interface to SG-t-SNE-П, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Tue, 01 Aug 2023 00:42:55 GMT</pubDate>
    </item>    <item>
      <title>1.1.4</title>
      <link>https://pypi.org/project/sgtsnepipy/1.1.4/</link>
      <description>SGtSNEpiPy is a Python interface to SG-t-SNE-П, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Sun, 30 Jul 2023 04:59:27 GMT</pubDate>
    </item>    <item>
      <title>1.1.3</title>
      <link>https://pypi.org/project/sgtsnepipy/1.1.3/</link>
      <description>SGtSNEpiPy is a Python interface to SG-t-SNE-П, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Sun, 30 Jul 2023 04:57:00 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/sgtsnepipy/1.1.2/</link>
      <description>SGtSNEpiPy is a Python interface to SG-t-SNE-П, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Sun, 30 Jul 2023 04:17:17 GMT</pubDate>
    </item>    <item>
      <title>1.0.8</title>
      <link>https://pypi.org/project/sgtsnepipy/1.0.8/</link>
      <description>SGtSNEpiPy is a Python interface to SG-t-SNE-П, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Sun, 30 Jul 2023 03:47:54 GMT</pubDate>
    </item>    <item>
      <title>1.0.7</title>
      <link>https://pypi.org/project/sgtsnepipy/1.0.7/</link>
      <description>SGtSNEpiPy is a Python interface for the SG-t-SNE-П algorithm, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Fri, 28 Jul 2023 17:38:35 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/sgtsnepipy/1.0.6/</link>
      <description>SGtSNEpiPy is a Python interface for the SG-t-SNE-П algorithm, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Mon, 10 Jul 2023 15:56:05 GMT</pubDate>
    </item>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/sgtsnepipy/1.0.5/</link>
      <description>SGtSNEpiPy is a Python interface for the SG-t-SNE-П algorithm, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Mon, 10 Jul 2023 14:55:49 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/sgtsnepipy/1.0.4/</link>
      <description>SGtSNEpiPy is a Python interface for the SG-t-SNE-П algorithm, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Mon, 10 Jul 2023 09:55:00 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/sgtsnepipy/1.0.3/</link>
      <description>SGtSNEpiPy is a Python interface for the SG-t-SNE-П algorithm, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Mon, 10 Jul 2023 09:49:53 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/sgtsnepipy/1.0.2/</link>
      <description>SGtSNEpiPy is a Python interface for the SG-t-SNE-П algorithm, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
      <pubDate>Mon, 10 Jul 2023 09:01:39 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/sgtsnepipy/1.0.0/</link>
      <description>SGtSNEpiPy is a Python interface for the SG-t-SNE-П algorithm, a powerful tool for visualizing large, sparse, stochastic graphs.</description>
<author>yz737@duke.edu, cq27@duke.edu</author>      <pubDate>Mon, 10 Jul 2023 04:42:50 GMT</pubDate>
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