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 simplex tree an efficient data structure for general simplicial complexes"
  Abstract: This paper introduces a new data structure, called simplex tree, to represent abstract simplicial complexes of any dimension. All faces of the simplicial complex are explicitly stored in a trie whose nodes are in bijection with the faces of the complex. This data structure allows to efficiently implement a large range of basic operations on simplicial complexes. We provide theoretical complexity analysis as well as detailed experimental results. We more specifically study Rips and witness complexes.

Connected through hyperedge HE-1 (induced by source paper "gpu accelerated computation of vietoris rips persistence barcodes"):
  with members:
    - "on characterizing the capacity of neural networks using algebraic topology"
    - "deep learning with topological signatures"
    - "simba an efficient tool for approximating rips filtration persistence via simplicial batch collapse"
    - "a geometric perspective on sparse filtrations"
    - "the compressed annotation matrix an efficient data structure for computing persistent cohomology"
    - "computing topological persistence for simplicial maps"

Connected through hyperedge HE-2 (induced by source paper "computing discrete morse complexes from simplicial complexes"):
  with members:
    - "the stellar tree a compact representation for simplicial complexes and beyond"
    - "building efficient and compact data structures for simplicial complexes"
    - "reducing complexes in multidimensional persistent homology theory"
    - "the compressed annotation matrix an efficient data structure for computing persistent cohomology"
    - "graph induced complex on point data"
    - "distributed computation of persistent homology"
    - "random discrete morse theory and a new library of triangulations"

Connected through hyperedge HE-3 (induced by source paper "the topology toolkit"):
  with members:
    - "building efficient and compact data structures for simplicial complexes"
    - "a persistence landscapes toolbox for topological statistics"
    - "introduction to the r package tda"
    - "optimal topological simplification of discrete functions on surfaces"
    - "computing topological persistence for simplicial maps"

Connected through hyperedge HE-4 (induced by source paper "persistent 1 cycles definition computation and its application"):
  with members:
    - "the compressed annotation matrix an efficient data structure for computing persistent cohomology"
    - "computing topological persistence for simplicial maps"
    - "approximating loops in a shortest homology basis from point data"
    - "quantifying homology classes ii localization and stability"

Connected through hyperedge HE-5 (induced by source paper "persistent homology for low complexity models"):
  with members:
    - "isometric sketching of any set via the restricted isometry property"
    - "practical and optimal lsh for angular distance"
    - "approximation and streaming algorithms for projective clustering via random projections"
    - "dimensionality reduction with subgaussian matrices a unified theory"
    - "the johnson lindenstrauss lemma is optimal for linear dimensionality reduction"
    - "local doubling dimension of point sets"
    - "a unified framework for linear dimensionality reduction in l1"
    - "living on the edge phase transitions in convex programs with random data"

Connected through hyperedge HE-6 (induced by source paper "the stellar tree a compact representation for simplicial complexes and beyond"):
  with members:
    - "building efficient and compact data structures for simplicial complexes"
    - "multicore homology via mayer vietoris"

Connected through hyperedge HE-7 (induced by source paper "building efficient and compact data structures for simplicial complexes"):
  with members:
    - "listing all maximal cliques in sparse graphs in near optimal time"

Connected through hyperedge HE-8 (induced by source paper "a probabilistic approach to reducing the algebraic complexity of computing delaunay triangulations"):
  with members:
    - "delaunay stability via perturbations"
    - "only distances are required to reconstruct submanifolds"
    - "the stability of delaunay triangulations"
    - "a constructive proof of the general lovasz local lemma"

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)