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: "large isolating cuts shrink the multiway cut"
  Abstract: We propose a preprocessing algorithm for the multiway cut problem that establishes its polynomial kernelizability when the difference between the parameter $k$ and the size of the smallest isolating cut is at most $log(k)$. To the best of our knowledge, this is the first progress towards kernelization of the multiway cut problem. We pose two open questions that, if answered affirmatively, would imply, combined with the proposed result, unconditional polynomial kernelizability of the multiway cut problem.

Connected through hyperedge HE-1 (induced by source paper "a deterministic polynomial kernel for odd cycle transversal and vertex multiway cut in planar graphs"):
  with members:
    - "bidimensionality and kernels"
    - "uniform kernelization complexity of hitting forbidden minors"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "compression via matroids a randomized polynomial kernel for odd cycle transversal"
    - "on multiway cut parameterized above lower bounds"
    - "obtaining a planar graph by vertex deletion"

Connected through hyperedge HE-2 (induced by source paper "designing fpt algorithms for cut problems using randomized contractions"):
  with members:
    - "clustering with local restrictions"
    - "half integrality lp branching and fpt algorithms"
    - "faster parameterized algorithms using linear programming"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "on group feedback vertex set parameterized by the size of the cutset"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"

Connected through hyperedge HE-3 (induced by source paper "clique cover and graph separation new incompressibility results"):
  with members:
    - "kernelization lower bounds by cross composition"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "kernelization of packing problems"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "preprocessing for treewidth a combinatorial analysis through kernelization"
    - "co nondeterminism in compositions a kernelization lower bound for a ramsey type problem"
    - "compression via matroids a randomized polynomial kernel for odd cycle transversal"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"

Connected through hyperedge HE-4 (induced by source paper "on multiway cut parameterized above lower bounds"):
  with members:
    - "multicut is fpt"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"
    - "computing multiway cut within the given excess over the largest minimum isolating cut"
    - "all ternary permutation constraint satisfaction problems parameterized above average have kernels with quadratic numbers of variables"
    - "vertex cover problem parameterized above and below tight bounds"
    - "almost 2 sat is fixed parameter tractable"

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.DM(Discrete Mathematics)