Matrices are graphs: reframing matrix multiplication as signal-passing on networks
TivadarDanka · x · 2026-09-22
Math communicator Tivadar Danka argues against thinking of matrices as grids of floating-point numbers: matrices and graphs are two views of the same object. Every matrix multiplication is a network transformation where nodes pass signals along weighted edges. Shifting from mechanical arithmetic to graph intuition turns linear algebra from boring to beautiful — a mental model that maps directly onto GNNs and attention mechanisms.
Related event: Matrices are graphs: the most underrated insight in linear algebra(2 posts)→
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