MIP: Mutual information-guided prompt for class-incremental continual graph learning.
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| Title: | MIP: Mutual information-guided prompt for class-incremental continual graph learning. |
|---|---|
| Authors: | Yuan, QiAo1,2 (AUTHOR) qiao.yuan17@student.xjtlu.edu.cn, Zhu, Boxuan1,2 (AUTHOR) Boxuan.Zhu18@student.xjtlu.edu.cn, Huang, Weizhi1,2 (AUTHOR) Weizhi.Huang18@student.xjtlu.edu.cn, Guan, Sheng-Uei1,2 (AUTHOR) Steven.Guan@xjtlu.edu.cn, Man, Ka Lok2 (AUTHOR) Ka.Man@xjtlu.edu.cn |
| Source: | Pattern Recognition. Nov2026:Part B, Vol. 179, pN.PAG-N.PAG. 1p. |
| Subjects: | Prompt engineering, Graph neural networks, Machine learning, Information theory |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194176427 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MIP: Mutual information-guided prompt for class-incremental continual graph learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yuan%2C+QiAo%22">Yuan, QiAo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> qiao.yuan17@student.xjtlu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Boxuan%22">Zhu, Boxuan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> Boxuan.Zhu18@student.xjtlu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Weizhi%22">Huang, Weizhi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> Weizhi.Huang18@student.xjtlu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Guan%2C+Sheng-Uei%22">Guan, Sheng-Uei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> Steven.Guan@xjtlu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Man%2C+Ka+Lok%22">Man, Ka Lok</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> Ka.Man@xjtlu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Pattern+Recognition%22">Pattern Recognition</searchLink>. Nov2026:Part B, Vol. 179, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Prompt+engineering%22">Prompt engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Graph+neural+networks%22">Graph neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Information+theory%22">Information theory</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194176427 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.patcog.2026.113704 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Prompt engineering Type: general – SubjectFull: Graph neural networks Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Information theory Type: general Titles: – TitleFull: MIP: Mutual information-guided prompt for class-incremental continual graph learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yuan, QiAo – PersonEntity: Name: NameFull: Zhu, Boxuan – PersonEntity: Name: NameFull: Huang, Weizhi – PersonEntity: Name: NameFull: Guan, Sheng-Uei – PersonEntity: Name: NameFull: Man, Ka Lok IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 11 Text: Nov2026:Part B Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00313203 Numbering: – Type: volume Value: 179 Titles: – TitleFull: Pattern Recognition Type: main |
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