arXiv Open Access 2020

Spectral clustering of annotated graphs using a factor graph representation

Tatsuro Kawamoto

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Abstrak

Graph-structured data commonly have node annotations. A popular approach for inference and learning involving annotated graphs is to incorporate annotations into a statistical model or algorithm. By contrast, we consider a more direct method named scotch-taping, in which the structural information in a graph and its node annotations are encoded as a factor graph. Specifically, we establish the mathematical basis of this method in the spectral framework.

Topik & Kata Kunci

cs.SI physics.soc-ph

Penulis (1)

Tatsuro Kawamoto

Format Sitasi

APA MLA BibTeX

Kawamoto, T. (2020). Spectral clustering of annotated graphs using a factor graph representation. https://arxiv.org/abs/2010.02791

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓