Noise-aware network embedding framework for network alignment

Yao Li

doi:10.1016/j.eswa.2026.132144

Noise-aware network embedding framework for network alignment

2026-03-20

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AI

DOI：10.1016/j.eswa.2026.132144

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Abstract

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• An innovative framework named NANE is proposed for network alignment tasks. • An additional feature refining component is introduced to mitigate the feature noise problem. • A novel mixed sampling strategy is devised to alleviate the embedding noise problem. • Experiments on three real-world datasets show that NANE outperforms seven state-of-the-art methods.

Keywords:

NANE

network alignment

feature refining

mixed sampling

embedding noise

Noise-aware network embedding framework for network alignment

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