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: "computational complexity of the interleaving distance"
  Abstract: The interleaving distance is arguably the most prominent distance measure in topological data analysis. In this paper, we provide bounds on the computational complexity of determining the interleaving distance in several settings. We show that the interleaving distance is NP-hard to compute for persistence modules valued in the category of vector spaces. In the specific setting of multidimensional persistent homology we show that the problem is at least as hard as a matrix invertibility problem. Persistence modules valued in the category of sets are also studied. As a corollary, we obtain that the isomorphism problem for Reeb graphs is graph isomorphism complete.

Connected through hyperedge HE-1 (induced by source paper "the l cophenetic metric for phylogenetic trees as an interleaving distance"):
  with members:
    - "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"
    - "the edit distance for reeb graphs of surfaces"
    - "measuring distance between reeb graphs"

Connected through hyperedge HE-2 (induced by source paper "persistence atlas for critical point variability in ensembles"):
  with members:
    - "the topology toolkit"
    - "sliced wasserstein kernel for persistence diagrams"
    - "geometric inference on kernel density estimates"
    - "measuring distance between reeb graphs"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-3 (induced by source paper "computing bottleneck distance for multi parameter interval decomposable persistence modules"):
  with members:
    - "geometry helps to compare persistence diagrams"
    - "categorified reeb graphs"
    - "the theory of the interleaving distance on multidimensional persistence modules"
    - "the rank invariant stability via interleavings"

Connected through hyperedge HE-4 (induced by source paper "computing the interleaving distance is np hard"):
  with members:
    - "geometry helps to compare persistence diagrams"
    - "the theory of the interleaving distance on multidimensional persistence modules"
    - "deterministic polynomial time algorithms for matrix completion problems"

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)