RaDE+: A semantic rank-based graph embedding algorithm

International Journal of Information Management Data Insights(2022)

引用 2|浏览8
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摘要
•Novel graph embedding approaches to generate low-dimensional representations for nodes in networks;•Based on unsupervised estimations of high-effective representative nodes;•There is a degree of semantics associated with each dimension of the generated representations;•A wide experimental evaluation conducted on 8 datasets of different data modalities.
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关键词
Graph embedding,Network representation learning,Ranking,Diffusion,Unsupervised,Semantic,Interpretability
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