On the complexity of H-coloring
Journal of Combinatorial Theory Series B
European Journal of Combinatorics
Discrete Applied Mathematics - Special issue: efficient algorithms and partial k-trees
The complexity of G-free colourability
Proceedings of an international symposium on Graphs and combinatorics
Regular Article: Universal Graphs with Forbidden Subgraphs and Algebraic Closure
Advances in Applied Mathematics
Duality theorems for finite structures (characterising gaps and good characterisations)
Journal of Combinatorial Theory Series B
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Universal H-colorable graphs without a given configuration
Discrete Mathematics
A Dichotomy Theorem for Constraints on a Three-Element Set
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
The monadic second-order logic of graphs XIV: uniformly sparse graphs and edge set quantifications
Theoretical Computer Science
The complexity of satisfiability problems
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
Excluding any graph as a minor allows a low tree-width 2-coloring
Journal of Combinatorial Theory Series B
Classifying the Complexity of Constraints Using Finite Algebras
SIAM Journal on Computing
Tree-depth, subgraph coloring and homomorphism bounds
European Journal of Combinatorics
Datalog and constraint satisfaction with infinite templates
STACS'06 Proceedings of the 23rd Annual conference on Theoretical Aspects of Computer Science
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Forbidden Patterns Problems (FPPs) are a proper generalisation of Constraint Satisfaction Problems (CSPs). However, we show that when the input belongs to a proper minor closed class, a FPP becomes a CSP. This result can also be rephrased in terms of expressiveness of the logic MMSNP, introduced by Feder and Vardi in relation with CSPs. Our proof generalises that of a recent paper by Nešetřil and Ossona de Mendez. Note that our result holds in the general setting of problems over arbitrary relational structures (not just for graphs).