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 "intrinsic interleaving distance for merge trees"):
  Abstract: Merge trees are a type of graph-based topological summary that tracks the evolution of connected components in the sublevel sets of scalar functions. They enjoy widespread applications in data analysis and scientific visualization. In this paper, we consider the problem of comparing two merge trees via the notion of interleaving distance in the metric space setting. We investigate various theoretical properties of such a metric. In particular, we show that the interleaving distance is intrinsic on the space of labeled merge trees and provide an algorithm to construct metric 1-centers for collections of labeled merge trees. We further prove that the intrinsic property of the interleaving distance also holds for the space of unlabeled merge trees. Our results are a first step toward performing statistics on graph-based topological summaries.

Includes members:
  Member "the l cophenetic metric for phylogenetic trees as an interleaving distance":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a structural average of labeled merge trees for uncertainty visualization")
  Member "fpt algorithms for computing gromov hausdorff and interleaving distances between trees":
    also connected through other hyperedges:
      (none)
  Member "statistical analysis and parameter selection for mapper":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deep graph mapper seeing graphs through the neural lens")
  Member "local equivalence and intrinsic metrics between reeb graphs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a structural average of labeled merge trees for uncertainty visualization")
  Member "convergence between categorical representations of reeb space and mapper":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "topoact exploring the shape of activations in deep learning")
  Member "categorified reeb graphs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the l cophenetic metric for phylogenetic trees as an interleaving distance")
  Member "the edit distance for reeb graphs of surfaces":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the l cophenetic metric for phylogenetic trees as an interleaving distance")
  Member "measuring distance between reeb graphs":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "progressive wasserstein barycenters of persistence diagrams")

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)