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 compressed annotation matrix an efficient data structure for computing persistent cohomology"
  Abstract: The persistent homology with coefficients in a field F coincides with the same for cohomology because of duality. We propose an implementation of a recently introduced algorithm for persistent cohomology that attaches annotation vectors with the simplices. We separate the representation of the simplicial complex from the representation of the cohomology groups, and introduce a new data structure for maintaining the annotation matrix, which is more compact and reduces substancially the amount of matrix operations. In addition, we propose heuristics to simplify further the representation of the cohomology groups and improve both time and space complexities. The paper provides a theoretical analysis, as well as a detailed experimental study of our implementation and comparison with state-of-the-art software for persistent homology and cohomology.

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 simplex tree an efficient data structure for general simplicial complexes"
    - "computing topological persistence for simplicial maps"

Connected through hyperedge HE-2 (induced by source paper "computing persistent homology with various coefficient fields in a single pass"):
  with members:
    - "computing topological persistence for simplicial maps"

Connected through hyperedge HE-3 (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"
    - "the simplex tree an efficient data structure for general simplicial complexes"
    - "reducing complexes in multidimensional persistent homology theory"
    - "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-4 (induced by source paper "persistent 1 cycles definition computation and its application"):
  with members:
    - "the simplex tree an efficient data structure for general simplicial complexes"
    - "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 "discrete morse theory for computing zigzag persistence"):
  with members:
    - "strong collapse for persistence"
    - "computing zigzag persistent cohomology"
    - "distributed computation of persistent homology"

Connected through hyperedge HE-6 (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"
    - "the simplex tree an efficient data structure for general simplicial complexes"
    - "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"

Connected through hyperedge HE-7 (induced by source paper "an efficient representation for filtrations of simplicial complexes"):
  with members:
    - "powers of tensors and fast matrix multiplication"
    - "computing topological persistence for simplicial maps"
    - "listing all maximal cliques in sparse graphs in near optimal time"

Connected through hyperedge HE-8 (induced by source paper "computing zigzag persistent cohomology"):
  with members:
    - "computing topological persistence for simplicial maps"

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)