Abstract
Recent results show that the structural similarity of graphs can be characterized by counting homomorphisms to them: the Tree Theorem states that the well-known color-refinement algorithm does not distinguish two graphs G and H if and only if, for every tree T, the number of homomorphisms \(\mathsf {Hom}(T, G)\) from T to G is equal to the corresponding number \(\mathsf {Hom}(T, H)\) from T to H (Dell, Grohe, Rattan 2018). We show how this approach transfers to hypergraphs by introducing a generalization of color refinement. We prove that it does not distinguish two hypergraphs G and H if and only if, for every connected Berge-acyclic hypergraph B, we have \(\mathsf {Hom}(B, G) = \mathsf {Hom}(B, H)\). To this end, we show how homomorphisms of hypergraphs and of a colored variant of their incidence graphs are related to each other. This reduces the above statement to one about vertex-colored graphs.
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Böker, J. (2019). Color Refinement, Homomorphisms, and Hypergraphs. In: Sau, I., Thilikos, D. (eds) Graph-Theoretic Concepts in Computer Science. WG 2019. Lecture Notes in Computer Science(), vol 11789. Springer, Cham. https://doi.org/10.1007/978-3-030-30786-8_26
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DOI: https://doi.org/10.1007/978-3-030-30786-8_26
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