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: "dynamic geometric data structures via shallow cuttings"
  Abstract: We present new results on a number of fundamental problems about dynamic geometric data structures: #R##N#1. We describe the first fully dynamic data structures with sublinear amortized update time for maintaining (i) the number of vertices or the volume of the convex hull of a 3D point set, (ii) the largest empty circle for a 2D point set, (iii) the Hausdorff distance between two 2D point sets, (iv) the discrete 1-center of a 2D point set, (v)the number of maximal (i.e., skyline) points in a 3D point set. The update times are near $n^{11/12}$ for (i) and (ii), $n^{7/8}$ for (iii) and (iv), and $n^{2/3}$ for (v). Previously, sublinear bounds were known only for restricted `semi-online' settings [Chan, SODA 2002]. #R##N#2. We slightly improve previous fully dynamic data structures for answering extreme point queries for the convex hull of a 3D point set and nearest neighbor search for a 2D point set. The query time is $O(\log^2n)$, and the amortized update time is $O(\log^4n)$ instead of $O(\log^5n)$ [Chan, SODA 2006; Kaplan et al., SODA 2017]. #R##N#3. We also improve previous fully dynamic data structures for maintaining the bichromatic closest pair between two 2D point sets and the diameter of a 2D point set. The amortized update time is $O(\log^4n)$ instead of $O(\log^7n)$ [Eppstein 1995; Chan, SODA 2006; Kaplan et al., SODA 2017].

Connected through hyperedge HE-1 (induced by source paper "thaad efficient matching queries under temporal abstraction for anomaly detection"):
  with members:
    - "euclidean tsp motorcycle graphs and other new applications of nearest neighbor chains"
    - "a survey on learning to hash"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"

Connected through hyperedge HE-2 (induced by source paper "reactive proximity data structures for graphs"):
  with members:
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "crossing patterns in nonplanar road networks"
    - "defining equitable geographic districts in road networks via stable matching"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "treetopes and their graphs"
    - "going off road transversal complexity in road networks"
    - "all maximal independent sets and dynamic dominance for sparse graphs"
    - "fast hierarchical clustering and other applications of dynamic closest pairs"

Connected through hyperedge HE-3 (induced by source paper "resolving sinr queries in a dynamic setting"):
  with members:
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "batched point location in sinr diagrams via algebraic tools"
    - "approximating minimization diagrams and generalized proximity search"
    - "sinr diagram with interference cancellation"
    - "the topology of wireless communication"

Connected through hyperedge HE-4 (induced by source paper "nearly optimal planar k nearest neighbors queries under general distance functions"):
  with members:
    - "improved dynamic geodesic nearest neighbor searching in a simple polygon"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "shortest paths in intersection graphs of unit disks"
    - "on range searching with semialgebraic sets ii"

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)