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: "witness delaunay graphs"
  Abstract: Proximity graphs are used in several areas in which a neighborliness relationship for input data sets is a useful tool in their analysis, and have also received substantial attention from the graph drawing community, as they are a natural way of implicitly representing graphs. However, as a tool for graph representation, proximity graphs have some limitations that may be overcome with suitable generalizations. We introduce a generalization, witness graphs, that encompasses both the goal of more power and flexibility for graph drawing issues and a wider spectrum for neighborhood analysis. We study in detail two concrete examples, both related to Delaunay graphs, and consider as well some problems on stabbing geometric objects and point set discrimination, that can be naturally described in terms of witness graphs.

Connected through hyperedge HE-1 (induced by source paper "maximum matchings and minimum blocking sets in θ 6 graphs"):
  with members:
    - "spanning properties of theta theta 6"
    - "on the spanning and routing ratio of theta four"
    - "the θ 5 graph is a spanner"
    - "higher order triangular distance delaunay graphs graph theoretical properties"
    - "on the average number of edges in theta graphs"
    - "fixed orientation equilateral triangle matching of point sets"
    - "witness gabriel graphs"

Connected through hyperedge HE-2 (induced by source paper "a short proof of the toughness of delaunay triangulations"):
  with members:
    - "plane hop spanners for unit disk graphs simpler and better"

Connected through hyperedge HE-3 (induced by source paper "proximity drawings of high degree trees"):
  with members:
    - "witness gabriel graphs"
    - "the geometric thickness of low degree graphs"

Connected through hyperedge HE-4 (induced by source paper "witness rectangle graphs"):
  with members:
    - "witness gabriel graphs"

Connected through hyperedge HE-5 (induced by source paper "witness gabriel graphs"):
  with members:
    - "witness rectangle graphs"

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)