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Nonlinear Maps Between Irreducible Representations in Graph Neural Networks

Shayestehfar, Mani
arXiv (All) · Papers
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05e1005e3068t07machine-learningprimaryrepresentation-theorysecondary
Equivariant linear maps cannot mix non-isomorphic irreducible representations, whereas nonlinear activations can. We develop a degree-resolved version of this nonlinear interaction picture and use the resulting block inventory to construct Specht Triple, a residual on unordered graph triples. On a s
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