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Community Detection in Fully-Connected Multi-layer Networks through Joint Nonnegative Matrix Factorization
2022
IEEE Access
Modern data analysis and processing tasks typically involve large sets of structured data. Graphs provide a powerful tool to describe the structure of such data, where the entities and the relationships between them are modeled as the nodes and edges of the graph. Traditional single layer network models are insufficient for describing the multiple entity types and modes of interaction encountered in real-world applications. Recently, multi-layer network models, which consider the different
doi:10.1109/access.2022.3168659
fatcat:sowzguhhxrhnlieyulfqb3l2ii