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Found 3 papers, 1 papers with code
Generative Models and Learning Algorithms for Core-Periphery Structured Graphs
In this paper, we focus on learning the core scores of a graph from its node attributes and connectivity structure.
Learning Sparse Graphs with a Core-periphery Structure
In this paper, we focus on learning sparse graphs with a core-periphery structure.
Learning Multi-layer Graphs and a Common Representation for Clustering
In this paper, we focus on graph learning from multi-view data of shared entities for spectral clustering.
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