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: "a polynomial kernel for multicut in trees"
  Abstract: The MULTICUT IN TREES problem consists in deciding, given a tree, a set of requests (i.e. paths in the tree) and an integer k, whether there exists a set of k edges cutting all the requests. This problem was shown to be FPT by Guo and Niedermeyer. They also provided an exponential kernel. They asked whether this problem has a polynomial kernel. This question was also raised by Fellows. We show that MULTICUT IN TREES has a polynomial kernel.

Connected through hyperedge HE-1 (induced by source paper "parameterized complexity dichotomy for steiner multicut"):
  with members:
    - "an o 1 84 k parameterized algorithm for the multiterminal cut problem"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "clique cover and graph separation new incompressibility results"
    - "on multiway cut parameterized above lower bounds"

Connected through hyperedge HE-2 (induced by source paper "algorithms for cut problems on trees"):
  with members:
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"
    - "multicut is fpt"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-3 (induced by source paper "large isolating cuts shrink the multiway cut"):
  with members:
    - "computing multiway cut within the given excess over the largest minimum isolating cut"

Connected through hyperedge HE-4 (induced by source paper "fixed parameter tractability of multicut parameterized by the size of the cutset"):
  with members:
    - "clustering with local restrictions"
    - "faster parameterized algorithms using linear programming"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "on multiway cut parameterized above lower bounds"
    - "subset feedback vertex set is fixed parameter tractable"
    - "multicut is fpt"
    - "almost 2 sat is fixed parameter tractable"

Connected through hyperedge HE-5 (induced by source paper "multicut is fpt"):
  with members:
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"
    - "treewidth reduction for constrained separation and bipartization problems"

Connected through hyperedge HE-6 (induced by source paper "kernels for feedback arc set in tournaments"):
  with members:
    - "faster algorithms for feedback arc set tournament kemeny rank aggregation and betweenness tournament"
    - "learning to order things"

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)