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: "exponential time complexity of the permanent and the tutte polynomial"
  Abstract: We show conditional lower bounds for well-studied #P-hard problems:   The number of satisfying assignments of a 2-CNF formula with n variables cannot be computed in time exp(o(n)), and the same is true for computing the number of all independent sets in an n-vertex graph.   The permanent of an n× n matrix with entries 0 and 1 cannot be computed in time exp(o(n)).   The Tutte polynomial of an n-vertex multigraph cannot be computed in time exp(o(n)) at most evaluation points (x,y) in the case of multigraphs, and it cannot be computed in time exp(o(n/poly log n)) in the case of simple graphs.   Our lower bounds are relative to (variants of) the Exponential Time Hypothesis (ETH), which says that the satisfiability of n-variable 3-CNF formulas cannot be decided in time exp(o(n)). We relax this hypothesis by introducing its counting version #ETH; namely, that the satisfying assignments cannot be counted in time exp(o(n)). In order to use #ETH for our lower bounds, we transfer the sparsification lemma for d-CNF formulas to the counting setting.

Connected through hyperedge HE-1 (induced by source paper "the fine grained complexity of computing the tutte polynomial of a linear matroid"):
  with members:
    - "fine grained dichotomies for the tutte plane and boolean csp"
    - "tight lower bounds on graph embedding problems"
    - "assigning channels via the meet in the middle approach"
    - "inapproximability of the tutte polynomial"
    - "computing the tutte polynomial in vertex exponential time"

Connected through hyperedge HE-2 (induced by source paper "lower bounds for the happy coloring problems"):
  with members:
    - "the parameterized complexity of happy colorings"
    - "algorithms and hardness results for happy coloring problems"
    - "on problems as hard as cnf sat"
    - "submodular and supermodular multi labeling and vertex happiness"
    - "kernelization of packing problems"
    - "quasirandom rumor spreading"

Connected through hyperedge HE-3 (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"
    - "amalgam width of matroids"
    - "the complexity of computing the sign of the tutte polynomial"
    - "on the complexity of the interlace polynomial"
    - "computing the tutte polynomial in vertex exponential time"

Connected through hyperedge HE-4 (induced by source paper "on symbolic approaches for computing the matrix permanent"):
  with members:
    - "addmc exact weighted model counting with algebraic decision diagrams"
    - "incremental cardinality constraints for maxsat"
    - "understanding model counting for beta acyclic cnf formulas"
    - "a new direction for counting perfect matchings"
    - "counting based search branching heuristics for constraint satisfaction problems"

Connected through hyperedge HE-5 (induced by source paper "homomorphisms are a good basis for counting small subgraphs"):
  with members:
    - "the hardness of embedding grids and walls"
    - "parameterized counting of trees forests and matroid bases"
    - "if the current clique algorithms are optimal so is valiant s parser"
    - "powers of tensors and fast matrix multiplication"
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "the parameterized complexity of k biclique"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"

Connected through hyperedge HE-6 (induced by source paper "counting edge injective homomorphisms and matchings on restricted graph classes"):
  with members:
    - "homomorphisms are a good basis for counting small subgraphs"
    - "holographic algorithm with matchgates is universal for planar csp over boolean domain"
    - "parameterizing the permanent genus apices minors evaluation mod 2 k"
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "the parameterized complexity of k biclique"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"
    - "holographic algorithms with matchgates capture precisely tractable planar csp"

Connected through hyperedge HE-7 (induced by source paper "approximation algorithms for replenishment problems with fixed turnover times"):
  with members:
    - "a new perspective on the windows scheduling problem"
    - "feasibility analysis of sporadic real time multiprocessor task systems"

Connected through hyperedge HE-8 (induced by source paper "fine grained dichotomies for the tutte plane and boolean csp"):
  with members:
    - "block interpolation a framework for tight exponential time counting complexity"
    - "complexity of counting csp with complex weights"
    - "the exponential time complexity of computing the probability that a graph is connected"
    - "computing the tutte polynomial in vertex exponential time"

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)