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A Novel Compressed Sensing-Based Graph Isomorphic Network for Key Node Recognition and Entity Alignm...

A Novel Compressed Sensing-Based Graph Isomorphic Network for Key Node Recognition and Entity Alignm...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracacademiconefile_A759324632

A Novel Compressed Sensing-Based Graph Isomorphic Network for Key Node Recognition and Entity Alignment

About this item

Full title

A Novel Compressed Sensing-Based Graph Isomorphic Network for Key Node Recognition and Entity Alignment

Publisher

IGI Global

Journal title

International journal on semantic web and information systems, 2022-12, Vol.18 (2), p.1-17

Language

English

Formats

Publication information

Publisher

IGI Global

More information

Scope and Contents

Contents

In recent years, the related research of entity alignment has mainly focused on entity alignment via knowledge embeddings and graph neural networks; however, these proposed models usually suffer from structural heterogeneity and the large-scale problem of knowledge graph. A novel entity alignment model based on graph isomorphic network and compress...

Alternative Titles

Full title

A Novel Compressed Sensing-Based Graph Isomorphic Network for Key Node Recognition and Entity Alignment

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_gale_infotracacademiconefile_A759324632

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracacademiconefile_A759324632

Other Identifiers

ISSN

1552-6283

E-ISSN

1552-6291

DOI

10.4018/IJSWIS.315600

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