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: "approximating the bottleneck plane perfect matching of a point set"
  Abstract: A bottleneck plane perfect matching of a set of $n$ points in $\mathbb{R}^2$ is defined to be a perfect non-crossing matching that minimizes the length of the longest edge; the length of this longest edge is known as {\em bottleneck}. The problem of computing a bottleneck plane perfect matching has been proved to be NP-hard. We present an algorithm that computes a bottleneck plane matching of size at least $\frac{n}{5}$ in $O(n \log^2 n)$-time. Then we extend our idea toward an $O(n\log n)$-time approximation algorithm which computes a plane matching of size at least $\frac{2n}{5}$ whose edges have length at most $\sqrt{2}+\sqrt{3}$ times the bottleneck.

Connected through hyperedge HE-1 (induced by source paper "euclidean bottleneck bounded degree spanning tree ratios"):
  with members:
    - "degree bounded bottleneck spanning trees in three dimensions"
    - "on improved bounds for bounded degree spanning trees for points in arbitrary dimension"
    - "low degree spanning trees of small weight"

Connected through hyperedge HE-2 (induced by source paper "geometric planar networks on bichromatic points"):
  with members:
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "plane bichromatic trees of low degree"

Connected through hyperedge HE-3 (induced by source paper "matchings in geometric graphs"):
  with members:
    - "packing plane spanning trees and paths in complete geometric graphs"
    - "flip distance to a non crossing perfect matching"
    - "balanced partitions of 3 colored geometric sets in the plane"
    - "packing plane perfect matchings into a point set"
    - "10 gabriel graphs are hamiltonian"
    - "higher order triangular distance delaunay graphs graph theoretical properties"
    - "fixed orientation equilateral triangle matching of point sets"
    - "bottleneck non crossing matching in the plane"

Connected through hyperedge HE-4 (induced by source paper "faster bottleneck non crossing matchings of points in convex position"):
  with members:
    - "non crossing connectors in the plane"
    - "bottleneck non crossing matching 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)