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 approximability of max csp with fixed value constraints"
  Abstract: In the maximum constraint satisfaction problem (MAX CSP), one is given a finite collection of (possibly weighted) constraints on overlapping sets of variables, and the goal is to assign values from a given finite domain to the variables so as to maximize the number (or the total weight, for the weighted case) of satisfied constraints. This problem is NP-hard in general, and, therefore, it is natural to study how restricting the allowed types of constraints affects the approximability of the problem. In this paper, we show that any MAX CSP problem with a finite set of allowed constraint types, which includes all fixed-value constraints (i.e., constraints of the form x=a), is either solvable exactly in polynomial-time or else is APX-complete, even if the number of occurrences of variables in instances are bounded. Moreover, we present a simple description of all polynomial-time solvable cases of our problem. This description relies on the well-known algebraic combinatorial property of supermodularity.

Connected through hyperedge HE-1 (induced by source paper "optimal polynomial time compression for boolean max csp"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "kernelization of constraint satisfaction problems a study through universal algebra"
    - "the proof of csp dichotomy conjecture"
    - "tight hardness for shortest cycles and paths in sparse graphs"
    - "sparsification upper and lower bounds for graph problems and not all equal sat"
    - "complexity of counting csp with complex weights"
    - "preprocessing of min ones problems a dichotomy"

Connected through hyperedge HE-2 (induced by source paper "the complexity of finite valued csps"):
  with members:
    - "an algebraic theory of complexity for discrete optimization"
    - "the complexity of conservative valued csps"
    - "the power of linear programming for general valued csps"
    - "computational complexity of the minimum cost homomorphism problem on three element domains"
    - "tractable triangles and cross free convexity in discrete optimisation"
    - "the power of linear programming for valued csps"
    - "an effective fusion technique of cloud computing and networking series"
    - "tractable optimization problems through hypergraph based structural restrictions"

Connected through hyperedge HE-3 (induced by source paper "towards a characterization of constant factor approximable finite valued csps"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"
    - "the complexity of finite valued csps"
    - "asking the metaquestions in constraint tractability"
    - "robust algorithms with polynomial loss for near unanimity csps"
    - "combinatorial optimization algorithms via polymorphisms"
    - "the complexity of general valued csps"
    - "local distribution and the symmetry gap approximability of multiway partitioning problems"

Connected through hyperedge HE-4 (induced by source paper "the complexity of general valued csps"):
  with members:
    - "the power of sherali adams relaxations for general valued csps"
    - "combinatorial optimization algorithms via polymorphisms"
    - "a galois connection for valued constraint languages of infinite size"
    - "algebraic properties of valued constraint satisfaction problem"
    - "effectiveness of structural restrictions for hybrid csps"
    - "local distribution and the symmetry gap approximability of multiway partitioning problems"
    - "sherali adams relaxations for valued csps"
    - "robustly solvable constraint satisfaction problems"

Connected through hyperedge HE-5 (induced by source paper "the complexity of conservative valued csps"):
  with members:
    - "constraint solving via fractional edge covers"
    - "the complexity of approximating conservative counting csps"
    - "tractable triangles and cross free convexity in discrete optimisation"
    - "the power of linear programming for valued csps"
    - "tractable optimization problems through hypergraph based structural restrictions"
    - "the power of linear programming for valued csps a constructive characterization"
    - "extensions of the minimum cost homomorphism problem"
    - "min csp on four elements moving beyond submodularity"

Connected through hyperedge HE-6 (induced by source paper "towards minimizing k submodular functions"):
  with members:
    - "the complexity of conservative valued csps"
    - "the power of linear programming for valued csps"
    - "extensions of the minimum cost homomorphism problem"
    - "min csp on four elements moving beyond submodularity"
    - "submodularity on a tree unifying l natural convex and bisubmodular functions"
    - "on the complexity of submodular function minimisation on diamonds"

Connected through hyperedge HE-7 (induced by source paper "an algebraic theory of complexity for discrete optimization"):
  with members:
    - "the complexity of conservative valued csps"
    - "the power of linear programming for valued csps"
    - "hybrid tractability of valued constraint problems"
    - "the expressive power of binary submodular functions"
    - "the approximability of three valued max csp"

Connected through hyperedge HE-8 (induced by source paper "the power of linear programming for valued csps"):
  with members:
    - "an algebraic theory of complexity for discrete optimization"
    - "the complexity of conservative valued csps"
    - "towards minimizing k submodular functions"
    - "min csp on four elements moving beyond submodularity"
    - "on the complexity of submodular function minimisation on diamonds"
    - "hard constraint satisfaction problems have hard gaps at location 1"
    - "arc consistency for soft constraints"

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.CC(Computational Complexity)