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: "on the complexity of the interlace polynomial"
  Abstract: We consider the two-variable interlace polynomial introduced by Arratia, Bollobas and Sorkin (2004). We develop graph transformations which allow us to derive point-to-point reductions for the interlace polynomial. Exploiting these reductions we obtain new results concerning the computational complexity of evaluating the interlace polynomial at a fixed point. Regarding exact evaluation, we prove that the interlace polynomial is #P-hard to evaluate at every point of the plane, except on one line, where it is trivially polynomial time computable, and four lines, where the complexity is still open. This solves a problem posed by Arratia, Bollobas and Sorkin (2004). In particular, three specializations of the two-variable interlace polynomial, the vertex-nullity interlace polynomial, the vertex-rank interlace polynomial and the independent set polynomial, are almost everywhere #P-hard to evaluate, too. For the independent set polynomial, our reductions allow us to prove that it is even hard to approximate at any point except at 0.

Connected through hyperedge HE-1 (induced by source paper "the exact complexity of the tutte polynomial"):
  with members:
    - "descriptive complexity for counting complexity classes"
    - "block interpolation a framework for tight exponential time counting complexity"
    - "exponential time complexity of the permanent and the tutte polynomial"
    - "amalgam width of matroids"
    - "the complexity of computing the sign of the tutte polynomial"
    - "computing the tutte polynomial in vertex exponential time"

Connected through hyperedge HE-2 (induced by source paper "efficient computation of generalized ising polynomials on graphs with fixed clique width"):
  with members:
    - "connection matrices and the definability of graph parameters"
    - "complexity of ising polynomials"

Connected through hyperedge HE-3 (induced by source paper "exponential time complexity of weighted counting of independent sets"):
  with members:
    - "exponential time complexity of the permanent and the tutte polynomial"

Connected through hyperedge HE-4 (induced by source paper "a graph polynomial for independent sets of bipartite graphs"):
  with members:
    - "approximating the partition function of the ferromagnetic potts model"
    - "fast evaluation of interlace polynomials on graphs of bounded treewidth"
    - "computational transition at the uniqueness threshold"
    - "an approximation trichotomy for boolean 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.CC(Computational Complexity)