No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Irwin_King>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yifei_Zhang>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Zixing_Song>
foaf:homepage	<http://papers.nips.cc/paper_files/paper/2023/hash/944ecf65a46feb578a43abfd5cddd960-Abstract-Conference.html>
dc:identifier	DBLP conf/nips/SongZK23 (xsd:string)
dcterms:issued	2023 (xsd:gYear)
rdfs:label	No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/conf/nips/neurips2023.html#SongZK23>
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dc:title	No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. (xsd:string)
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