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: "categorified reeb graphs"
  Abstract: The Reeb graph is a construction which originated in Morse theory to study a real valued function defined on a topological space. More recently, it has been used in various applications to study noisy data which creates a desire to define a measure of similarity between these structures. Here, we exploit the fact that the category of Reeb graphs is equivalent to the category of a particular class of cosheaf. Using this equivalency, we can define an `interleaving' distance between Reeb graphs which is stable under the perturbation of a function. Along the way, we obtain a natural construction for smoothing a Reeb graph to reduce its topological complexity. The smoothed Reeb graph can be constructed in polynomial time.

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"
    - "the edit distance for reeb graphs of surfaces"
    - "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"
    - "binary adder circuits of asymptotically minimum depth linear size and fan out two"
    - "computing the gromov hausdorff distance for metric trees"
    - "the edit distance for reeb graphs of surfaces"
    - "measuring distance between reeb graphs"

Connected through hyperedge HE-3 (induced by source paper "a structural average of labeled merge trees for uncertainty visualization"):
  with members:
    - "the l cophenetic metric for phylogenetic trees as an interleaving distance"
    - "intrinsic interleaving distance for merge trees"
    - "the topology toolkit"
    - "local equivalence and intrinsic metrics between reeb graphs"
    - "computing the gromov hausdorff distance for metric trees"
    - "measuring distance between reeb graphs"

Connected through hyperedge HE-4 (induced by source paper "metric spaces with expensive distances"):
  with members:
    - "the edit distance for reeb graphs of surfaces"
    - "measuring distance between reeb graphs"
    - "fast construction of nets in low dimensional metrics and their applications"

Connected through hyperedge HE-5 (induced by source paper "computing bottleneck distance for multi parameter interval decomposable persistence modules"):
  with members:
    - "computational complexity of the interleaving distance"
    - "geometry helps to compare persistence diagrams"
    - "the theory of the interleaving distance on multidimensional persistence modules"
    - "the rank invariant stability via interleavings"

Connected through hyperedge HE-6 (induced by source paper "topological analysis of nerves reeb spaces mappers and multiscale mappers"):
  with members:
    - "measuring distance between reeb graphs"

Connected through hyperedge HE-7 (induced by source paper "computational complexity of the interleaving distance"):
  with members:
    - "the theory of the interleaving distance on multidimensional persistence modules"

Connected through hyperedge HE-8 (induced by source paper "convergence between categorical representations of reeb space and mapper"):
  with members:
    - "mutiscale mapper a framework for topological summarization of data and maps"
    - "geometric inference on kernel density estimates"

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)