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Efficient GNN Explanation via Learning Removal-based Attribution.

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Title: Efficient GNN Explanation via Learning Removal-based Attribution.
Authors: Rong, Yao1, yao.rong@tum.de, Wang, Guanchu2, guanchu.wang@rice.edu, Feng, Qizhang3, qf31@tamu.edu, Liu, Ninghao4, ninghao.liu@uga.edu, Liu, Zirui2, zl105@rice.edu, Kasneci, Enkelejda1, enkelejda.kasneci@tum.de, Hu, Xia2, Xia.Hu@rice.edu
Source: ACM Transactions on Knowledge Discovery from Data; Feb2025, Vol. 19 Issue 2, p1-23, 23p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Efficient GNN Explanation via Learning Removal-based Attribution.
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  Data: <searchLink fieldCode="AU" term="%22Rong%2C+Yao%22">Rong, Yao</searchLink><relatesTo>1</relatesTo>, <i>yao.rong@tum.de</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Guanchu%22">Wang, Guanchu</searchLink><relatesTo>2</relatesTo>, <i>guanchu.wang@rice.edu</i><br /><searchLink fieldCode="AU" term="%22Feng%2C+Qizhang%22">Feng, Qizhang</searchLink><relatesTo>3</relatesTo>, <i>qf31@tamu.edu</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Ninghao%22">Liu, Ninghao</searchLink><relatesTo>4</relatesTo>, <i>ninghao.liu@uga.edu</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Zirui%22">Liu, Zirui</searchLink><relatesTo>2</relatesTo>, <i>zl105@rice.edu</i><br /><searchLink fieldCode="AU" term="%22Kasneci%2C+Enkelejda%22">Kasneci, Enkelejda</searchLink><relatesTo>1</relatesTo>, <i>enkelejda.kasneci@tum.de</i><br /><searchLink fieldCode="AU" term="%22Hu%2C+Xia%22">Hu, Xia</searchLink><relatesTo>2</relatesTo>, <i>Xia.Hu@rice.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Knowledge+Discovery+from+Data%22">ACM Transactions on Knowledge Discovery from Data</searchLink>; Feb2025, Vol. 19 Issue 2, p1-23, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184492606
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        Value: 10.1145/3685678
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        Text: English
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      – TitleFull: Efficient GNN Explanation via Learning Removal-based Attribution.
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              Text: Feb2025
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              Y: 2025
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