Leveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs

Leveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs

Abstract Community search (CS) is a vital research area in network science that focuses on discovering personalized communities for query vertices from graphs. However, existing CS methods mainly concentrate on homogeneous or simple attributed graphs, often disregarding complex semantic information...

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Bibliographic Details
Main Authors: Yuqi Li, Guosheng Zang, Chunyao Song, Xiaojie Yuan, Tingjian Ge
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Data Science and Engineering
Subjects:
Heterogeneous graphs
Community search
Meta-structures
Graph reconstruction
Online Access:https://doi.org/10.1007/s41019-024-00244-z

Internet

https://doi.org/10.1007/s41019-024-00244-z

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