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		<title>Hybrid Graph Capsule Network Boosts Link Prediction Accuracy by 9.1 Percent</title>
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		<pubDate>Sat, 17 Oct 2026 21:10:55 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[capsule networks]]></category>
		<category><![CDATA[complex networks]]></category>
		<category><![CDATA[convolution]]></category>
		<category><![CDATA[GLCN]]></category>
		<category><![CDATA[graph]]></category>
		<category><![CDATA[graph convolutional networks]]></category>
		<category><![CDATA[graph neural networks]]></category>
		<category><![CDATA[Hybrid]]></category>
		<category><![CDATA[Knowledge and Information Systems]]></category>
		<category><![CDATA[link prediction]]></category>
		<category><![CDATA[lite]]></category>
		<category><![CDATA[Machine Learning]]></category>
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					<description><![CDATA[A new hybrid architecture combining graph convolutions with a lite capsule network delivers an average 9.1 percent improvement in link prediction accuracy across six datasets, while remaining robust against seven heuristic benchmarks and adaptable to evolving network structures.]]></description>
		
		
		
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