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 skip quadtree a simple dynamic data structure for multidimensional data"
  Abstract: We present a new multi-dimensional data structure, which we call the skip quadtree (for point data in R^2) or the skip octree (for point data in R^d, with constant d>2). Our data structure combines the best features of two well-known data structures, in that it has the well-defined "box"-shaped regions of region quadtrees and the logarithmic-height search and update hierarchical structure of skip lists. Indeed, the bottom level of our structure is exactly a region quadtree (or octree for higher dimensional data). We describe efficient algorithms for inserting and deleting points in a skip quadtree, as well as fast methods for performing point location and approximate range queries.

Connected through hyperedge HE-1 (induced by source paper "windows into geometric events data structures for time windowed querying of temporal point sets"):
  with members:
    - "triangulating the square and squaring the triangle quadtrees and delaunay triangulations are equivalent"
    - "windows into relational events data structures for contiguous subsequences of edges"
    - "fully retroactive approximate range and nearest neighbor searching"
    - "orthogonal range searching on the ram revisited"
    - "internet packet filter management and rectangle geometry"

Connected through hyperedge HE-2 (induced by source paper "triangulating the square and squaring the triangle quadtrees and delaunay triangulations are equivalent"):
  with members:
    - "self improving algorithms"
    - "transdichotomous results in computational geometry ii offline search"

Connected through hyperedge HE-3 (induced by source paper "approximate bregman near neighbors in sublinear time beyond the triangle inequality"):
  with members:
    - "the burbea rao and bhattacharyya centroids"
    - "fast construction of nets in low dimensional metrics and their applications"

Connected through hyperedge HE-4 (induced by source paper "fully retroactive approximate range and nearest neighbor searching"):
  with members:
    - "cloning voronoi diagrams via retroactive data structures"

Connected through hyperedge HE-5 (induced by source paper "squarepants in a tree sum of subtree clustering and hyperbolic pants decomposition"):
  with members:
    - "pants decomposition of the punctured plane"
    - "fast hierarchical clustering and other applications of dynamic closest pairs"

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)