Komarath, BalagopalBalagopalKomarathPandey, AnuragAnuragPandeyRahul, Chengot SankaramenonChengot SankaramenonRahul2025-08-312025-08-312022-07-01[9783959772358]10.4230/LIPIcs.ICALP.2022.832-s2.0-85133458920http://repository.iitgn.ac.in/handle/IITG2025/26021We study homomorphism polynomials, which are polynomials that enumerate all homomorphisms from a pattern graph H to n-vertex graphs. These polynomials have received a lot of attention recently for their crucial role in several new algorithms for counting and detecting graph patterns, and also for obtaining natural polynomial families which are complete for algebraic complexity classes VBP, VP, and VNP. We discover that, in the monotone setting, the formula complexity, the ABP complexity, and the circuit complexity of such polynomial families are exactly characterized by the treedepth, the pathwidth, and the treewidth of the pattern graph respectively. Furthermore, we establish a single, unified framework, using our characterization, to collect several known results that were obtained independently via different methods. For instance, we attain superpolynomial separations between circuits, ABPs, and formulas in the monotone setting, where the polynomial families separating the classes all correspond to well-studied combinatorial problems. Moreover, our proofs rediscover fine-grained separations between these models for constant-degree polynomials.falseAlgebraic branching programs | Algebraic circuits | Algebraic complexity | Algebraic formulas | Fine-grained complexity | Fixed-parameter algorithms and complexity | Graph algorithms | Graph homomorphisms | Homomorphism polynomials | Monotone complexity | Pathwidth | Treedepth | TreewidthMonotone Arithmetic Complexity of Graph Homomorphism PolynomialsConference Paper1 July 2022283cpConference Proceeding