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	<title>curriculum learning &#8211; BIOENGINEER.ORG</title>
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		<title>Curriculum-Inspired AI Learns Graphs Like a Student, Fixing Class Imbalance</title>
		<link>https://bioengineer.org/curriculum-inspired-ai-learns-graphs-like-a-student-fixing-class-imbalance/</link>
		
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		<pubDate>Fri, 09 Oct 2026 05:59:09 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Attention Mechanisms]]></category>
		<category><![CDATA[class imbalance]]></category>
		<category><![CDATA[curriculum learning]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[feature disentanglement]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[graph neural networks]]></category>
		<category><![CDATA[heterophilous graphs]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[minority classes]]></category>
		<category><![CDATA[Neural Computing and Applications]]></category>
		<category><![CDATA[node classification]]></category>
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					<description><![CDATA[Researchers have developed CL3AN-GNN, a graph neural network that borrows curriculum learning from education to progressively disentangle features and boost attention to minority classes, delivering significant accuracy gains across eight imbalanced graph benchmarks.]]></description>
		
		
		
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