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 "computing discrete morse complexes from simplicial complexes"):
  Abstract: We consider the problem of efficiently computing a discrete Morse complex on simplicial complexes of arbitrary dimension and very large size. Based on a common graph-based formalism, we analyze existing data structures for simplicial complexes, and we define an efficient encoding for the discrete Morse gradient on the most compact of such representations. We theoretically compare methods based on reductions and coreductions for computing a discrete Morse gradient, proving that the combination of reductions and coreductions produces new mutually equivalent approaches. We design and implement a new algorithm for computing a discrete Morse complex on simplicial complexes. We show that our approach scales very well with the size and the dimension of the simplicial complex also through comparisons with the only existing public-domain algorithm for discrete Morse complex computation. We discuss applications to the computation of multi-parameter persistent homology and of extrema graphs for visualization of time-varying 3D scalar fields.

Includes members:
  Member "the stellar tree a compact representation for simplicial complexes and beyond":
    also connected through other hyperedges:
      (none)
  Member "building efficient and compact data structures for simplicial complexes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal bound on the combinatorial complexity of approximating polytopes")
  Member "the simplex tree an efficient data structure for general simplicial complexes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "gpu accelerated computation of vietoris rips persistence barcodes")
  Member "reducing complexes in multidimensional persistent homology theory":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "persistence perfect discrete gradient vector fields and multi parameter persistence")
  Member "the compressed annotation matrix an efficient data structure for computing persistent cohomology":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "gpu accelerated computation of vietoris rips persistence barcodes")
  Member "graph induced complex on point data":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "topological data analysis with epsilon net induced lazy witness complex")
  Member "distributed computation of persistent homology":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "pi net a deep learning approach to extract topological persistence images")
  Member "random discrete morse theory and a new library of triangulations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "collapsibility to a subcomplex of a given dimension is np complete")

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)