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: "kernel bounds for path and cycle problems"
  Abstract: Connectivity problems like k-Path and k-Disjoint Paths relate to many important milestones in parameterized complexity, namely the Graph Minors Project, color coding, and the recent development of techniques for obtaining kernelization lower bounds. This work explores the existence of polynomial kernels for various path and cycle problems, by considering nonstandard parameterizations. We show polynomial kernels when the parameters are a given vertex cover, a modulator to a cluster graph, or a (promised) max leaf number. We obtain lower bounds via cross-composition, e.g., for Hamiltonian Cycle and related problems when parameterized by a modulator to an outerplanar graph.

Connected through hyperedge HE-1 (induced by source paper "parameterized pre coloring extension and list coloring problems"):
  with members:
    - "the set cover conjecture and subgraph isomorphism with a tree pattern"
    - "on problems as hard as cnf sat"
    - "sparsification upper and lower bounds for graph problems and not all equal sat"
    - "abusing the tutte matrix an algebraic instance compression for the k set cycle problem"
    - "solving max r sat above a tight lower bound"

Connected through hyperedge HE-2 (induced by source paper "independent set reconfiguration thresholds of hereditary graph classes"):
  with members:
    - "reconfiguration on sparse graphs"
    - "reconfiguring independent sets in claw free graphs"
    - "reconfiguration in bounded bandwidth and treedepth"
    - "linear time algorithm for sliding tokens on trees"
    - "efficient multi robot motion planning for unlabeled discs in simple polygons"
    - "on the parameterized complexity of reconfiguration problems"
    - "the complexity of change"
    - "fast mixing of parallel glauber dynamics and low delay csma scheduling"

Connected through hyperedge HE-3 (induced by source paper "turing kernelization for finding long paths and cycles in restricted graph classes"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "parameterized algorithms for deletion to r l graphs"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "kernelization lower bounds by cross composition"
    - "parameterized and exact computation"

Connected through hyperedge HE-4 (induced by source paper "meta kernelization using well structured modulators"):
  with members:
    - "bidimensionality and kernels"
    - "solving problems on graphs of high rank width"
    - "kernelization using structural parameters on sparse graph classes"
    - "meta kernelization with structural parameters"
    - "kernelization lower bounds by cross composition"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "preprocessing subgraph and minor problems when does a small vertex cover help"
    - "preprocessing for treewidth a combinatorial analysis through kernelization"

Connected through hyperedge HE-5 (induced by source paper "sparsification upper and lower bounds for graph problems and not all equal sat"):
  with members:
    - "optimal sparsification for some binary csps using low degree polynomials"
    - "tight kernel bounds for problems on graphs with small degeneracy"
    - "data reduction for graph coloring problems"
    - "on sparsification for computing treewidth"
    - "kernelization lower bounds by cross composition"
    - "kernelization of packing problems"
    - "co nondeterminism in compositions a kernelization lower bound for a ramsey type problem"
    - "dominating set is fixed parameter tractable in claw free graphs"

Connected through hyperedge HE-6 (induced by source paper "solving problems on graphs of high rank width"):
  with members:
    - "meta kernelization using well structured modulators"
    - "on feedback vertex set new measure and new structures"
    - "chordal editing is fixed parameter tractable"
    - "kernelization using structural parameters on sparse graph classes"
    - "meta kernelization with structural parameters"
    - "backdoors to satisfaction"
    - "practical and efficient split decomposition via graph labelled trees"
    - "linear time split decomposition revisited"

Connected through hyperedge HE-7 (induced by source paper "metric dimension parameterized by max leaf number"):
  with members:
    - "model checking lower bounds for simple graphs"
    - "on the parameterized and approximation hardness of metric dimension"
    - "on the complexity of metric dimension"

Connected through hyperedge HE-8 (induced by source paper "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"):
  with members:
    - "turing kernelization for finding long paths and cycles in restricted graph classes"
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "the parameterized complexity of k biclique"
    - "everything you always wanted to know about the parameterized complexity of subgraph isomorphism but were afraid to ask"
    - "data reduction for graph coloring problems"
    - "kernelization lower bounds by cross composition"
    - "kernelization of packing problems"
    - "clique cover and graph separation new incompressibility results"

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.DS(Data Structures and Algorithms)