human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "circuit complexity and decompositions of global constraints"
  Abstract: We show that tools from circuit complexity can be used to study decompositions of global constraints. In particular, we study decompositions of global constraints into conjunctive normal form with the property that unit propagation on the decomposition enforces the same level of consistency as a specialized propagation algorithm. We prove that a constraint propagator has a a polynomial size decomposition if and only if it can be computed by a polynomial size monotone Boolean circuit. Lower bounds on the size of monotone Boolean circuits thus translate to lower bounds on the size of decompositions of global constraints. For instance, we prove that there is no polynomial sized decomposition of the domain consistency propagator for the ALLDIFFERENT constraint.

Connected through hyperedge HE-1 (induced by source paper "bounds on the size of pc and urc formulas"):
  with members:
    - "on tackling the limits of resolution in sat solving"
    - "a knowledge compilation map"

Connected through hyperedge HE-2 (induced by source paper "sat vs csp a commentary"):
  with members:
    - "translation based constraint answer set solving"
    - "a translational approach to constraint answer set solving"
    - "decomposition of the nvalue constraint"
    - "decompositions of all different global cardinality and related constraints"

Connected through hyperedge HE-3 (induced by source paper "propagation complete encodings of smooth dnnf theories"):
  with members:
    - "a knowledge compilation map"

Connected through hyperedge HE-4 (induced by source paper "backdoor decomposable monotone circuits and their propagation complete encodings"):
  with members:
    - "propagation complete encodings of smooth dnnf theories"
    - "on tackling the limits of resolution in sat solving"
    - "expander cnfs have exponential dnnf size"
    - "a knowledge compilation map"

Connected through hyperedge HE-5 (induced by source paper "translation of algorithmic descriptions of discrete functions to sat with applications to cryptanalysis problems"):
  with members:
    - "on cryptographic attacks using backdoors for sat"
    - "encoding cryptographic functions to sat using transalg system"
    - "using monte carlo method for searching partitionings of hard variants of boolean satisfiability problem"
    - "ursa a system for uniform reduction to sat"

Connected through hyperedge HE-6 (induced by source paper "on the quest for an acyclic graph"):
  with members:
    - "constraints lazy constraints or propagators in asp solving an empirical analysis"
    - "powers of tensors and fast matrix multiplication"
    - "even faster integer multiplication"
    - "on sat representations of xor constraints"

Connected through hyperedge HE-7 (induced by source paper "on sat representations of xor constraints"):
  with members:
    - "generalising unit refutation completeness and slur via nested input resolution"
    - "simulating parity reasoning extended version"
    - "trading inference effort versus size in cnf knowledge compilation"
    - "hardness measures and resolution lower bounds"
    - "towards a theory of good sat representations"
    - "unit contradiction versus unit propagation"
    - "extending clause learning sat solvers with complete parity reasoning extended version"

Connected through hyperedge HE-8 (induced by source paper "generalising unit refutation completeness and slur via nested input resolution"):
  with members:
    - "pebble games proof complexity and time space trade offs"
    - "towards a theory of good sat representations"
    - "minimization for generalized boolean formulas"
    - "a knowledge compilation map"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.AI(Artificial Intelligence)