<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>network Archives - Petamind</title>
	<atom:link href="https://petaminds.com/tag/network/feed/" rel="self" type="application/rss+xml" />
	<link>https://petaminds.com/tag/network/</link>
	<description>A.I, Data and Software Engineering</description>
	<lastBuildDate>Tue, 05 Oct 2021 06:08:02 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>

<image>
	<url>https://petaminds.com/wp-content/uploads/2019/09/ic_launcher.png</url>
	<title>network Archives - Petamind</title>
	<link>https://petaminds.com/tag/network/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Network protocols quick notes</title>
		<link>https://petaminds.com/network-protocols-quick-notes/</link>
					<comments>https://petaminds.com/network-protocols-quick-notes/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Fri, 12 Mar 2021 01:53:00 +0000</pubDate>
				<category><![CDATA[back-end]]></category>
		<category><![CDATA[cloud]]></category>
		<category><![CDATA[ip]]></category>
		<category><![CDATA[network]]></category>
		<category><![CDATA[protocol]]></category>
		<category><![CDATA[tcp]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2978</guid>

					<description><![CDATA[<p>In the world of technology, there are vast numbers of users&#8217; communicating with different devices in different languages. That also includes many ways in which they transmit data along with the different software they implement. Yes, we&#8217;re talking about &#8220;networking protocols&#8221; which are a set of rules that help in governing the way a particular [&#8230;]</p>
<p>The post <a href="https://petaminds.com/network-protocols-quick-notes/">Network protocols quick notes</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
					<wfw:commentRss>https://petaminds.com/network-protocols-quick-notes/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>An example to Graph Convolutional Network</title>
		<link>https://petaminds.com/an-example-to-graph-convolutional-network/</link>
					<comments>https://petaminds.com/an-example-to-graph-convolutional-network/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Mon, 23 Sep 2019 02:03:09 +0000</pubDate>
				<category><![CDATA[back-end]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[front-end]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[gcn]]></category>
		<category><![CDATA[graph]]></category>
		<category><![CDATA[karate]]></category>
		<category><![CDATA[network]]></category>
		<category><![CDATA[node embedding]]></category>
		<guid isPermaLink="false">http://petaminds.com/?p=633</guid>

					<description><![CDATA[<p>In my research, there are many problems involve networks of different types, e.g. social network, online-trading networks, crowd-sourcing, etc. I was so happy to find a new powerful tool for my research, the graph convolutional network, which applies deep learning on graph structures. Graph convolutional network (GCN) There is currently no official definition for GCN. [&#8230;]</p>
<p>The post <a href="https://petaminds.com/an-example-to-graph-convolutional-network/">An example to Graph Convolutional Network</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
					<wfw:commentRss>https://petaminds.com/an-example-to-graph-convolutional-network/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
