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Multiplex Networks in Machine Learning by Yunru Cheng is a document available to read on EtoBox.
What is Multiplex Networks in Machine Learning about?
The document discusses advanced models in network science, particularly focusing on multiplex networks, which allow for multiple types of relationships and interactions among nodes. It covers various approaches to analyze these networks, including community detection techniques and the generalization of existing algorithms to accommodate the complexities of multiplex structures. The lecture emphasizes the importance of understanding layer interactions and developing new metrics for effective analysis of mul
- Author
- Yunru Cheng
- Language
- EN