OSGNN: Original graph and Subgraph aggregated Graph Neural Network

Heterogeneous Graph Embedding (HGE) is receiving a great attention from researchers, as it can be widely and effectively used to solve problems from various real-world applications. The existing HGE models mainly learn node representation directly on the whole heterogeneous graph by aggregating neig...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Yan, Yeyu [verfasserIn]

Li, Chao [verfasserIn]

Yu, Yanwei [verfasserIn]

Li, Xiangju [verfasserIn]

Zhao, Zhongying [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2023

Schlagwörter:

Graph neural networks

Heterogeneous graphs

Graph representation learning

Heterogeneous networks

Übergeordnetes Werk:

Enthalten in: Expert systems with applications - Amsterdam [u.a.] : Elsevier Science, 1990, 225

Übergeordnetes Werk:

volume:225

DOI / URN:

10.1016/j.eswa.2023.120115

Katalog-ID:

ELV009650911

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