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 edit distance for reeb graphs of surfaces"
  Abstract: Reeb graphs are structural descriptors that capture shape properties of a topological space from the perspective of a chosen function. In this work we define a combinatorial metric for Reeb graphs of orientable surfaces in terms of the cost necessary to transform one graph into another by edit operations. The main contributions of this paper are the stability property and the optimality of this edit distance. More precisely, the stability result states that changes in the functions, measured by the maximum norm, imply not greater changes in the corresponding Reeb graphs, measured by the edit distance. The optimality result states that our edit distance discriminates Reeb graphs better than any other metric for Reeb graphs of surfaces satisfying the stability property.

Connected through hyperedge HE-1 (induced by source paper "intrinsic interleaving distance for merge trees"):
  with members:
    - "the l cophenetic metric for phylogenetic trees as an interleaving distance"
    - "fpt algorithms for computing gromov hausdorff and interleaving distances between trees"
    - "statistical analysis and parameter selection for mapper"
    - "local equivalence and intrinsic metrics between reeb graphs"
    - "convergence between categorical representations of reeb space and mapper"
    - "categorified reeb graphs"
    - "measuring distance between reeb graphs"

Connected through hyperedge HE-2 (induced by source paper "the l cophenetic metric for phylogenetic trees as an interleaving distance"):
  with members:
    - "computational complexity of the interleaving distance"
    - "convergence between categorical representations of reeb space and mapper"
    - "categorified reeb graphs"
    - "binary adder circuits of asymptotically minimum depth linear size and fan out two"
    - "computing the gromov hausdorff distance for metric trees"
    - "measuring distance between reeb graphs"

Connected through hyperedge HE-3 (induced by source paper "metric spaces with expensive distances"):
  with members:
    - "categorified reeb graphs"
    - "measuring distance between reeb graphs"
    - "fast construction of nets in low dimensional metrics and their applications"

Connected through hyperedge HE-4 (induced by source paper "local equivalence and intrinsic metrics between reeb graphs"):
  with members:
    - "measuring distance between reeb graphs"

Connected through hyperedge HE-5 (induced by source paper "persistence lenses segmentation simplification vectorization scale space and fractal analysis of images"):
  with members:
    - "varlets additive decomposition topological total variation and filtering of scalar fields"
    - "measuring distance between reeb graphs"

Connected through hyperedge HE-6 (induced by source paper "categorified reeb graphs"):
  with members:
    - "measuring distance between reeb graphs"
    - "gromov hausdorff approximation of metric spaces with linear structure"
    - "maintaining information in fully dynamic trees with top trees"

Connected through hyperedge HE-7 (induced by source paper "multivariate topology simplification"):
  with members:
    - "categorified reeb graphs"
    - "local smooth and consistent jacobi set simplification"

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)