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		<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>
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		<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>
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