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: "net and prune a linear time algorithm for euclidean distance problems"
  Abstract: We provide a general framework for getting expected linear time constant factor approximations (and in many cases FPTAS's) to several well known problems in Computational Geometry, such as $k$-center clustering and farthest nearest neighbor. The new approach is robust to variations in the input problem, and yet it is simple, elegant and practical. In particular, many of these well studied problems which fit easily into our framework, either previously had no linear time approximation algorithm, or required rather involved algorithms and analysis. A short list of the problems we consider include farthest nearest neighbor, $k$-center clustering, smallest disk enclosing $k$ points, $k$th largest distance, $k$th smallest $m$-nearest neighbor distance, $k$th heaviest edge in the MST and other spanning forest type problems, problems involving upward closed set systems, and more. Finally, we show how to extend our framework such that the linear running time bound holds with high probability.

Connected through hyperedge HE-1 (induced by source paper "topological data analysis with epsilon net induced lazy witness complex"):
  with members:
    - "introduction to the r package tda"
    - "graph induced complex on point data"
    - "linear size approximations to the vietoris rips filtration"
    - "fast construction of nets in low dimensional metrics and their applications"

Connected through hyperedge HE-2 (induced by source paper "a unified framework for clustering constrained data without locality property"):
  with members:
    - "faster balanced clusterings in high dimension"
    - "faster algorithms for the constrained k means problem"
    - "the hardness of approximation of euclidean k means"
    - "parallel algorithms for geometric graph problems"
    - "a constant factor approximation algorithm for fault tolerant k median"
    - "fault tolerant clustering revisited"
    - "fast clustering with lower bounds no customer too far no shop too small"
    - "lp rounding for k centers with non uniform hard capacities"

Connected through hyperedge HE-3 (induced by source paper "covering many points with a small area box"):
  with members:
    - "covering points by disjoint boxes with outliers"
    - "algorithms for eps approximations of terrains"

Connected through hyperedge HE-4 (induced by source paper "high dimensional approximate r nets"):
  with members:
    - "approximate greedy clustering and distance selection for graph metrics"
    - "fast construction of nets in low dimensional metrics and their applications"

Connected through hyperedge HE-5 (induced by source paper "approximation algorithms for polynomial expansion and low density graphs"):
  with members:
    - "approximation algorithms for low density graphs"
    - "simple ptas s for families of graphs excluding a minor"
    - "qptas for geometric set cover problems via optimal separators"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "deciding first order properties of nowhere dense graphs"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"
    - "a simple proof of the existence of a planar separator"

Connected through hyperedge HE-6 (induced by source paper "approximation algorithms for low density graphs"):
  with members:
    - "simple ptas s for families of graphs excluding a minor"
    - "qptas for geometric set cover problems via optimal separators"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"
    - "a simple proof of the existence of a planar separator"
    - "being fat and friendly is not enough"
    - "improved approximation algorithms for geometric set cover"

Connected through hyperedge HE-7 (induced by source paper "approximate greedy clustering and distance selection for graph metrics"):
  with members:
    - "all distances sketches revisited hip estimators for massive graphs analysis"
    - "fast c k r partitions of sparse graphs"
    - "fast construction of nets in low dimensional metrics and their applications"
    - "the ariadne s clew algorithm"

Connected through hyperedge HE-8 (induced by source paper "the discrete and semi continuous fr echet distance with shortcuts via approximate distance counting and selection techniques"):
  with members:
    - "computing the fr e chet distance with shortcuts is np hard"
    - "four soviets walk the dog with an application to alt s conjecture"
    - "computing the discrete fr echet distance in subquadratic time"

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)