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: "improved inapproximability for tsp"
  Abstract: The Traveling Salesman Problem is one of the most studied problems in computational complexity and its approximability has been a long standing open question. Currently, the best known inapproximability threshold known is 220/219 due to Papadimitriou and Vempala. Here, using an essentially different construction and also relying on the work of Berman and Karpinski on bounded occurrence CSPs, we give an alternative and simpler inapproximability proof which improves the bound to 185/184.

Connected through hyperedge HE-1 (induced by source paper "travelling on graphs with small highway dimension"):
  with members:
    - "hierarchy of transportation network parameters and hardness results"
    - "the parameterized hardness of the k center problem in transportation networks"
    - "a 1 varepsilon embedding of low highway dimension graphs into bounded treewidth graphs"
    - "structural parameters tight bounds and approximation for k r center"
    - "beyond highway dimension small distance labels using tree skeletons"
    - "solving generalized maximum weight connected subgraph problem for network enrichment analysis"
    - "fixed parameter approximations for k center problems in low highway dimension graphs"
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"

Connected through hyperedge HE-2 (induced by source paper "an improved approximation algorithm for tsp in the half integral case"):
  with members:
    - "towards improving christofides algorithm for half integer tsp"
    - "cover and conquer augmenting decompositions for connectivity problems"
    - "13 9 approximation for graphic tsp"

Connected through hyperedge HE-3 (induced by source paper "red blue partitioned mst tsp and matching"):
  with members:
    - "network optimization on partitioned pairs of points"
    - "new inapproximability bounds for tsp"

Connected through hyperedge HE-4 (induced by source paper "approximating the held karp bound for metric tsp in nearly linear time"):
  with members:
    - "incremental exact min cut in poly logarithmic amortized update time"
    - "an experimental evaluation of the best of many christofides algorithm for the traveling salesman problem"
    - "unified acceleration method for packing and covering problems via diameter reduction"
    - "a nearly linear time ptas for explicit fractional packing and covering linear programs"
    - "nearly linear time approximation schemes for mixed packing covering and facility location linear programs"
    - "faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms"
    - "minimum cuts in near linear time"

Connected through hyperedge HE-5 (induced by source paper "graphic tsp in cubic graphs"):
  with members:
    - "approximation hardness of graphic tsp on cubic graphs"
    - "new inapproximability bounds for tsp"
    - "approximating graphic tsp by matchings"
    - "the traveling salesman problem on cubic and subcubic graphs"
    - "13 9 approximation for graphic tsp"

Connected through hyperedge HE-6 (induced by source paper "approximability of tsp on power law graphs"):
  with members:
    - "13 9 approximation for graphic tsp"

Connected through hyperedge HE-7 (induced by source paper "on integrality ratios for asymmetric tsp in the sherali adams hierarchy"):
  with members:
    - "new inapproximability bounds for tsp"
    - "lift and project integrality gaps for the traveling salesperson problem"

Connected through hyperedge HE-8 (induced by source paper "approximating the regular graphic tsp in near linear time"):
  with members:
    - "new inapproximability bounds for tsp"
    - "13 9 approximation for graphic tsp"

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)