The uniformly sparse (US) graphs, and the matrices associated with them, are
introduced. These matrices have remarkable properties regarding diagonal
equivalence and, thus, minimum rank. In the square case, this means that the
determination of maximum geometric multiplicity of an eigenvalue is straightforward.
Properties of US graphs, the matrices and the relationships with key parameters are
discussed.
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