A new method for node classification in multiplex graphs adapts to mixed homophily and heterophily per dimension via compatibility matrices and Chebyshev-approximated product filters optimized with proximal gradients.
Multidimensional networks: foundations of structural analysis.World Wide Web, 16(5):567– 593
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Modeling Heterophily in Multiplex Graphs: An Adaptive Approach for Node Classification
A new method for node classification in multiplex graphs adapts to mixed homophily and heterophily per dimension via compatibility matrices and Chebyshev-approximated product filters optimized with proximal gradients.