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: "myhill nerode methods for hypergraphs"
  Abstract: We give an analog of the Myhill---Nerode theorem from formal language theory for hypergraphs and use it to derive the following results for two NP-hard hypergraph problems. (1) We provide an algorithm for testing whether a hypergraph has cutwidth at most $$k$$k that runs in linear time for constant $$k$$k. In terms of parameterized complexity theory, the problem is fixed-parameter linear parameterized by $$k$$k. (2) We show that it is not expressible in monadic second-order logic whether a hypergraph has bounded (fractional, generalized) hypertree width. The proof leads us to conjecture that, in terms of parameterized complexity theory, these problems are W[1]-hard parameterized by the incidence treewidth (the treewidth of the incidence graph). Thus, in the form of the Myhill---Nerode theorem for hypergraphs, we obtain a method to derive linear-time algorithms and to obtain indicators for intractability for hypergraph problems parameterized by incidence treewidth.

Connected through hyperedge HE-1 (induced by source paper "complexity analysis of general and fractional hypertree decompositions"):
  with members:
    - "hyperbench a benchmark and tool for hypergraphs and empirical findings"
    - "tree projections and constraint optimization problems fixed parameter tractability and parallel algorithms"
    - "size bounds and query plans for relational joins"
    - "constraint solving via fractional edge covers"
    - "an analytical study of large sparql query logs"
    - "old techniques for new join algorithms a case study in rdf processing"
    - "general and fractional hypertree decompositions hard and easy cases"
    - "faq questions asked frequently"

Connected through hyperedge HE-2 (induced by source paper "the art of trellis decoding is fixed parameter tractable"):
  with members:
    - "an fpt algorithm and a polynomial kernel for linear rankwidth 1 vertex deletion"
    - "constructive algorithm for path width of matroids"
    - "fast matrix rank algorithms and applications"
    - "matroid pathwidth and code trellis complexity"

Connected through hyperedge HE-3 (induced by source paper "general and fractional hypertree decompositions hard and easy cases"):
  with members:
    - "size bounds and query plans for relational joins"
    - "constraint solving via fractional edge covers"
    - "an analytical study of large sparql query logs"
    - "old techniques for new join algorithms a case study in rdf processing"
    - "faq questions asked frequently"
    - "joins via geometric resolutions worst case and beyond"
    - "gym a multiround join algorithm in mapreduce"
    - "aggregation and ordering in factorised databases"

Connected through hyperedge HE-4 (induced by source paper "constructive algorithm for path width of matroids"):
  with members:
    - "a simpler self reduction algorithm for matroid path width"
    - "an fpt algorithm and a polynomial kernel for linear rankwidth 1 vertex deletion"
    - "fast matrix rank algorithms and applications"
    - "matroid pathwidth and code trellis complexity"

Connected through hyperedge HE-5 (induced by source paper "linear kernels and single exponential algorithms via protrusion decompositions"):
  with members:
    - "slightly superexponential parameterized problems"
    - "bidimensionality and kernels"
    - "hitting and harvesting pumpkins"
    - "linear recognition of almost interval graphs"
    - "kernelization using structural parameters on sparse graph classes"
    - "meta kernelization with structural parameters"
    - "interval deletion is fixed parameter tractable"
    - "planar f deletion approximation and optimal fpt algorithms"

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)