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: "the complexity of global cardinality constraints"
  Abstract: In a constraint satisfaction problem (CSP) the goal is to find an assignment#N#of a given set of variables subject to specified constraints. A global#N#cardinality constraint is an additional requirement that prescribes how many#N#variables must be assigned a certain value. We study the complexity of the#N#problem CCSP(G), the constraint satisfaction problem with global cardinality#N#constraints that allows only relations from the set G. The main result of this#N#paper characterizes sets G that give rise to problems solvable in polynomial#N#time, and states that the remaining such problems are NP-complete.

Connected through hyperedge HE-1 (induced by source paper "global cardinality constraints make approximating some max 2 csps harder"):
  with members:
    - "resolution lower bounds for refutation statements"
    - "a note on max k vertex cover faster fpt as smaller approximate kernel and improved approximation"
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"
    - "analysis of boolean functions"
    - "better balance by being biased a 0 8776 approximation for max bisection"
    - "approximating csps with global cardinality constraints using sdp hierarchies"
    - "conditional hardness for approximate coloring"

Connected through hyperedge HE-2 (induced by source paper "beyond boolean surjective vcsps"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"
    - "algebraic properties of valued constraint satisfaction problem"
    - "towards minimizing k submodular functions"
    - "the complexity of surjective homomorphism problems a survey"

Connected through hyperedge HE-3 (induced by source paper "csps with global modular constraints algorithms and hardness via polynomial representations"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"
    - "submodular minimization under congruency constraints"
    - "two structural results for low degree polynomials and applications"

Connected through hyperedge HE-4 (induced by source paper "testing assignments to constraint satisfaction problems"):
  with members:
    - "sherali adams relaxations for valued csps"
    - "approximate constraint satisfaction requires large lp relaxations"
    - "the power of linear programming for valued csps"
    - "generic expression hardness results for primitive positive formula comparison"
    - "testing list h homomorphisms"
    - "an effective dichotomy for the counting constraint satisfaction problem"

Connected through hyperedge HE-5 (induced by source paper "fixed parameter approximability of boolean mincsps"):
  with members:
    - "completely inapproximable monotone and antimonotone parameterized problems"
    - "fixed parameter and approximation algorithms a new look"
    - "the complexity of weighted and unweighted csp"
    - "constraint satisfaction parameterized by solution size"

Connected through hyperedge HE-6 (induced by source paper "constraint satisfaction parameterized by solution size"):
  with members:
    - "on the hardness of losing weight"
    - "kernels for global constraints"
    - "preprocessing of min ones problems a dichotomy"

Connected through hyperedge HE-7 (induced by source paper "the complexity of surjective homomorphism problems a survey"):
  with members:
    - "finding vertex surjective graph homomorphisms"
    - "approximation for maximum surjective constraint satisfaction problems"
    - "the complexity of rooted phylogeny problems"
    - "the stubborn problem is stubborn no more a polynomial algorithm for 3 compatible colouring and the stubborn list partition problem"
    - "orthomodular lattices foulis semigroups and dagger kernel categories"
    - "the approximability of three valued max csp"

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.LO(Logic in Computer Science)