Modality-Oriented Graph Learning for OCM

Weili Guan; Xuemeng Song; Xiaojun Chang; Liqiang Nie

doi:10.1007/978-3-031-18817-6_3

Modality-Oriented Graph Learning for OCM

Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie

Department of Data Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Other › peer-review

Abstract

Beyond the fashion compatibility modeling, introduced in Chapter 2, which only considers the visual and textual modalities, as well as only the intramodal compatibility, this chapter presents the modality-oriented graph learning for fashion compatibility modeling, whereby both the intramodal and intermodal compatibilities between fashion items are incorporated for propagating over the entire graph.

Original language	English
Title of host publication	Graph Learning for Fashion Compatibility Modeling
Editors	Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie
Place of Publication	Cham Switzerland
Publisher	Springer
Chapter	3
Pages	25-47
Number of pages	23
Edition	2nd
ISBN (Electronic)	9783031188176
ISBN (Print)	9783031188169
DOIs	https://doi.org/10.1007/978-3-031-18817-6_3
Publication status	Published - 2022

Publication series

Name	Synthesis Lectures on Information Concepts, Retrieval, and Services
Publisher	Springer Nature
ISSN (Print)	1947-945X
ISSN (Electronic)	1947-9468

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10.1007/978-3-031-18817-6_3

Cite this

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title = "Modality-Oriented Graph Learning for OCM",

abstract = "Beyond the fashion compatibility modeling, introduced in Chapter 2, which only considers the visual and textual modalities, as well as only the intramodal compatibility, this chapter presents the modality-oriented graph learning for fashion compatibility modeling, whereby both the intramodal and intermodal compatibilities between fashion items are incorporated for propagating over the entire graph.",

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Modality-Oriented Graph Learning for OCM. / Guan, Weili; Song, Xuemeng; Chang, Xiaojun et al.
Graph Learning for Fashion Compatibility Modeling. ed. / Weili Guan; Xuemeng Song; Xiaojun Chang; Liqiang Nie. 2nd. ed. Cham Switzerland: Springer, 2022. p. 25-47 (Synthesis Lectures on Information Concepts, Retrieval, and Services).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Other › peer-review

TY - CHAP

T1 - Modality-Oriented Graph Learning for OCM

AU - Guan, Weili

AU - Song, Xuemeng

AU - Chang, Xiaojun

AU - Nie, Liqiang

PY - 2022

Y1 - 2022

N2 - Beyond the fashion compatibility modeling, introduced in Chapter 2, which only considers the visual and textual modalities, as well as only the intramodal compatibility, this chapter presents the modality-oriented graph learning for fashion compatibility modeling, whereby both the intramodal and intermodal compatibilities between fashion items are incorporated for propagating over the entire graph.

AB - Beyond the fashion compatibility modeling, introduced in Chapter 2, which only considers the visual and textual modalities, as well as only the intramodal compatibility, this chapter presents the modality-oriented graph learning for fashion compatibility modeling, whereby both the intramodal and intermodal compatibilities between fashion items are incorporated for propagating over the entire graph.

UR - https://www.scopus.com/pages/publications/85141868933

U2 - 10.1007/978-3-031-18817-6_3

DO - 10.1007/978-3-031-18817-6_3

M3 - Chapter (Book)

AN - SCOPUS:85141868933

SN - 9783031188169

T3 - Synthesis Lectures on Information Concepts, Retrieval, and Services

SP - 25

EP - 47

BT - Graph Learning for Fashion Compatibility Modeling

A2 - Guan, Weili

A2 - Song, Xuemeng

A2 - Chang, Xiaojun

A2 - Nie, Liqiang

PB - Springer

CY - Cham Switzerland

ER -

Modality-Oriented Graph Learning for OCM

Abstract

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Research output

Graph Learning for Fashion Compatibility Modeling

Cite this