Enhancing the Efficiency of Unsupervised Network Alignment Using Quotient Graph

Network alignment, a foundational technique for cross-domain applications such as recommendation systems and knowledge fusion, faces significant challenges in balancing computational efficiency and alignment accuracy. Although graph neural networks (GNNs) effectively capture structural and semantic...

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Bibliografiske detaljer

Principais autores:	Lei Zhang, Feng Qian
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Network alignment graph neural networks graph coarsening quotient graph matched neighborhood consistency
Online adgang:	https://ieeexplore.ieee.org/document/10918943/
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