Abstract
The complexity of graph homomorphisms has been a subject of intense study [11, 12, 4, 42, 21, 17, 6, 20]. The partition function of graph homomorphism is defined by a symmetric matrix over . We prove that the complexity dichotomy of [6] extends to bounded degree graphs. More precisely, we prove that either is computable in polynomial-time for every , or for some it is #P-hard over (simple) graphs with maximum degree . The tractability criterion on for this dichotomy is explicit, and can be decided in polynomial-time in the size of . We also show that the dichotomy is effective in that either a P-time algorithm for, or a reduction from #SAT to, can be constructed from , in the respective cases.
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