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This paper introduces HAAM, a novel method for node classification in multiplex graphs that adapts to both homophilic and heterophilic interactions across dimensions. It uses dimension-specific compatibility matrices and a product of trainable low-pass and high-pass filters approximated via Chebyshev polynomials to capture smooth and abrupt signal changes.