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 guillotine approach for tsp with neighborhoods revisited"
  Abstract: The Euclidean TSP with neighborhoods (TSPN) is the following problem: Given a set R of k regions, find a shortest tour that visits at least one point from each region. We study the special cases of disjoint, connected, alpha-fat regions (i.e., every region P contains a disk of diameter diam(P)/alpha) and disjoint unit disks. #R##N#For the latter, Dumitrescu and Mitchell proposed an algorithm based on Mitchell's guillotine subdivision approach for the Euclidean TSP and claimed it to be a PTAS. However, their proof contains a severe gap, which we will close in the following. Bodlaender et al. remark that their techniques for the minimum corridor connection problem carry over to the TSPN and yield an alternative PTAS for this problem. #R##N#For disjoint connected alpha-fat regions of varying size, Mitchell proposed a slightly different PTAS candidate. We will expose several further problems and gaps in this approach. Some of them we can close, but overall, for alpha-fat regions, the existence of a PTAS for the TSPN remains open.

Connected through hyperedge HE-1 (induced by source paper "constant factor approximation for tsp with disks"):
  with members:
    - "a ptas for tsp with neighborhoods among fat regions in the plane"
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "the traveling salesman problem for lines balls and planes"
    - "violator spaces structure and algorithms"
    - "improved approximation algorithms for geometric set cover"
    - "approximation algorithms for tsp with neighborhoods in the plane"

Connected through hyperedge HE-2 (induced by source paper "the traveling salesman problem for lines balls and planes"):
  with members:
    - "constant factor approximation for tsp with disks"
    - "a ptas for tsp with neighborhoods among fat regions in the plane"
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "the stretch factor of the delaunay triangulation is less than 1 998"
    - "the traveling salesman problem for lines and rays in the plane"
    - "approximation algorithms for tsp with neighborhoods in the plane"

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.CG(Computational Geometry)