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: "counting and enumerating crossing free geometric graphs"
  Abstract: We describe a framework for counting and enumerating various types of crossing-free geometric graphs on a planar point set. The framework generalizes ideas of Alvarez and Seidel, who used them to count triangulations in time $O(2^nn^2)$ where $n$ is the number of points. The main idea is to reduce the problem of counting geometric graphs to counting source-sink paths in a directed acyclic graph. #R##N#The following new results will emerge. The number of all crossing-free geometric graphs can be computed in time $O(c^nn^4)$ for some $c < 2.83929$. The number of crossing-free convex partitions can be computed in time $O(2^nn^4)$. The number of crossing-free perfect matchings can be computed in time $O(2^nn^4)$. The number of convex subdivisions can be computed in time $O(2^nn^4)$. The number of crossing-free spanning trees can be computed in time $O(c^nn^4)$ for some $c < 7.04313$. The number of crossing-free spanning cycles can be computed in time $O(c^nn^4)$ for some $c < 5.61804$. #R##N#With the same bounds on the running time we can construct data structures which allow fast enumeration of the respective classes. For example, after $O(2^nn^4)$ time of preprocessing we can enumerate the set of all crossing-free perfect matchings using polynomial time per enumerated object. For crossing-free perfect matchings and convex partitions we further obtain enumeration algorithms where the time delay for each (in particular, the first) output is bounded by a polynomial in $n$. #R##N#All described algorithms are comparatively simple, both in terms of their analysis and implementation.

Connected through hyperedge HE-1 (induced by source paper "an upper bound for min max angle of polygons"):
  with members:
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "a 4 5 approximation algorithm for the maximum traveling salesman problem"
    - "a bound on a convexity measure for point sets"

Connected through hyperedge HE-2 (induced by source paper "loopless gray code enumeration and the tower of bucharest"):
  with members:
    - "a constant time algorithm for middle levels gray codes"

Connected through hyperedge HE-3 (induced by source paper "counting triangulations and other crossing free structures approximately"):
  with members:
    - "a simple sweep line algorithm for counting triangulations and pseudo triangulations"
    - "counting triangulations and other crossing free structures via onion layers"
    - "counting plane graphs perfect matchings spanning cycles and kasteleyn s technique"
    - "counting plane graphs flippability and its applications"
    - "bounds on the maximum multiplicity of some common geometric graphs"
    - "counting triangulations of planar point sets"

Connected through hyperedge HE-4 (induced by source paper "counting triangulations and other crossing free structures via onion layers"):
  with members:
    - "counting triangulations and other crossing free structures approximately"
    - "a simple sweep line algorithm for counting triangulations and pseudo triangulations"
    - "counting plane graphs perfect matchings spanning cycles and kasteleyn s technique"
    - "counting plane graphs flippability and its applications"
    - "bounds on the maximum multiplicity of some common geometric graphs"
    - "counting triangulations of planar point sets"

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)