GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs
Heterogeneous graphs, which contain nodes and edges of multiple types, are prevalent in various domains, including bibliographic networks, social media, and knowledge graphs. As a fundamental task in analyzing heterogeneous graphs, relevance measure aims to calculate the relevance between two object...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE Computer Society
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |