human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "an efficient data retrieval parallel reeb graph algorithm"):
  Abstract: The Reeb graph of a scalar function defined on a domain gives a topological meaningful summary of that domain. Reeb graphs have been shown in the past decade to be of great importance in geometric processing, image processing, computer graphics and computational topology. The demand to compute large data sets has increased in the last decade and hence the consideration of parallelization of topological computations. We propose a parallel Reeb graph algorithm on triangulated meshes with and without a boundary. Furthermore, we give a description for extracting the original manifold data from the Reeb graph structure. As an application, we show how our algorithm can be utilized in mesh segmentation algorithms.

Includes members:
  Member "mapper on graphs for network visualization":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep graph mapper seeing graphs through the neural lens")
  Member "topological analysis of nerves reeb spaces mappers and multiscale mappers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "mapper on graphs for network visualization")
  Member "convergence between categorical representations of reeb space and mapper":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "topoact exploring the shape of activations in deep learning")
  Member "segmenting a surface mesh into pants using morse theory":
    also connected through other hyperedges:
      (none)
  Member "a mountaintop view requires minimal sorting a faster contour tree algorithm":
    also connected through other hyperedges:
      (none)
  Member "multicore homology via mayer vietoris":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the stellar tree a compact representation for simplicial complexes and beyond")
  Member "a spectral sequence for parallelized persistence":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "singular persistent homology with effective concurrent computation")
  Member "towards persistence based reconstruction in euclidean spaces":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "time series featurization via topological data analysis")

Question: Please tell me which class the source paper 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)