JOURNAL ARTICLE

Semi-Supervised Embedding of Attributed Multiplex Networks

Abstract

Complex information can be represented as networks (graphs) characterized by a large number of nodes, multiple types of nodes, and multiple types of relationships between them, i.e. multiplex networks. Additionally, these networks are enriched with different types of node features.

Keywords:
Multiplex Computer science Node (physics) Embedding Computer network Theoretical computer science Artificial intelligence Engineering Bioinformatics Biology

Metrics

7
Cited By
1.79
FWCI (Field Weighted Citation Impact)
42
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Graph Neural Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Complex Network Analysis Techniques
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Graph Theory and Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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