Constrained multilinear detection for faster functional motif discovery

The GRAPH MOTIF problem asks whether a given multiset of colors appears on a connected subgraph of a vertex-colored graph. The fastest known parameterized algorithm for this problem is based on a reduction to the $k$-Multilinear Detection (k-MlD) problem: the detection of multilinear terms of total degree k in polynomials presented as circuits. We revisit k-MLD and define k-CMLD, a constrained version of it which reflects GRAPH MOTIF more faithfully. We then give a fast algorithm for k-CMLD. As a result we obtain faster parameterized algorithms for GRAPH MOTIF and variants of it.

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