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: "recognizing weakly simple polygons"
  Abstract: We present an $O(n\log n)$-time algorithm that determines whether a given planar $n$-gon is weakly simple. This improves upon an $O(n^2\log n)$-time algorithm by Chang, Erickson, and Xu (2015). Weakly simple polygons are required as input for several geometric algorithms. As such, how to recognize simple or weakly simple polygons is a fundamental question.

Connected through hyperedge HE-1 (induced by source paper "minimum cuts in surface graphs"):
  with members:
    - "holiest minimum cost paths and flows in surface graphs"
    - "computational topology and the unique games conjecture"
    - "finding all useless arcs in directed planar graphs"
    - "local flow partitioning for faster edge connectivity"
    - "minor free graphs have light spanners"
    - "minimum cycle and homology bases of surface embedded graphs"
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"
    - "minimum cut of directed planar graphs in o nloglogn time"

Connected through hyperedge HE-2 (induced by source paper "atomic embeddability clustered planarity and thickenability"):
  with members:
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "clustered planarity with pipes"
    - "detecting weakly simple polygons"
    - "simultaneous embedding edge orderings relative positions cutvertices"
    - "clustered planarity testing revisited"
    - "simultaneous embedding of planar graphs"
    - "simultaneous pq ordering with applications to constrained embedding problems"

Connected through hyperedge HE-3 (induced by source paper "rock climber distance frogs versus dogs"):
  with members:
    - "the k fr echet distance"
    - "four soviets walk the dog improved bounds for computing the frechet distance"
    - "an optimal algorithm for minimum link rectilinear paths in triangulated rectilinear domains"
    - "detecting weakly simple polygons"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "minimum link paths revisited"
    - "the problem of compatible representatives"

Connected through hyperedge HE-4 (induced by source paper "crossing minimization in perturbed drawings"):
  with members:
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "detecting weakly simple polygons"
    - "adding one edge to planar graphs makes crossing number and 1 planarity hard"

Connected through hyperedge HE-5 (induced by source paper "reconstruction of weakly simple polygons from their edges"):
  with members:
    - "on planar variants of the monotone satisfiability problem with bounded variable appearances"
    - "detecting weakly simple polygons"

Connected through hyperedge HE-6 (induced by source paper "recognizing weak embeddings of graphs"):
  with members:
    - "clustered planarity flat clustered planarity"
    - "hanani tutte for approximating maps of graphs"
    - "clustered planarity with pipes"
    - "embedding graphs into embedded graphs"
    - "detecting weakly simple polygons"
    - "strip planarity testing of embedded planar graphs"

Connected through hyperedge HE-7 (induced by source paper "c planarity of embedded cyclic c graphs"):
  with members:
    - "clustered planarity with pipes"
    - "testing cyclic level and simultaneous level planarity"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"
    - "detecting weakly simple polygons"
    - "beyond level planarity"
    - "powers of tensors and fast matrix multiplication"
    - "advances on testing c planarity of embedded flat clustered graphs"
    - "toward the hanani tutte theorem for clustered graphs"

Connected through hyperedge HE-8 (induced by source paper "embedding graphs into embedded graphs"):
  with members:
    - "a new perspective on clustered planarity as a combinatorial embedding problem"
    - "detecting weakly simple polygons"
    - "simultaneous pq ordering with applications to constrained embedding problems"

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)