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: "towards optimal and expressive kernelization for d hitting set"
  Abstract: A sunflower in a hypergraph is a set of hyperedges pairwise intersecting in exactly the same vertex set. Sunflowers are a useful tool in polynomial-time data reduction for problems formalizable as d-Hitting Set, the problem of covering all hyperedges (whose cardinality is bounded from above by a constant d) of a hypergraph by at most k vertices. Additionally, in fault diagnosis, sunflowers yield concise explanations for "highly defective structures".#R##N##R##N#We provide a linear-time algorithm that, by finding sunflowers, transforms an instance of d-Hitting Set into an equivalent instance comprising at most O(k d ) hyperedges and vertices. In terms of parameterized complexity, we show a problem kernel with asymptotically optimal size (unless $\operatorname {coNP}\subseteq \operatorname {NP/poly}$ ) and provide experimental results that show the practical applicability of our algorithm.#R##N##R##N#Finally, we show that the number of vertices can be reduced to O(k d?1) with additional processing in O(k 1.5d ) time--nontrivially combining the sunflower technique with problem kernels due to Abu-Khzam and Moser.

Connected through hyperedge HE-1 (induced by source paper "optimal size problem kernels for d hitting set in linear time and space"):
  with members:
    - "understanding the effectiveness of data reduction in public transportation networks"
    - "on approximate data reduction for the rural postman problem theory and experiments"
    - "computing hitting set kernels by ac 0 circuits"
    - "efficiently enumerating hitting sets of hypergraphs arising in data profiling"
    - "exploiting hidden structure in selecting dimensions that distinguish vectors"
    - "a shortcut to sun flowers kernels in logarithmic space or linear time"

Connected through hyperedge HE-2 (induced by source paper "parameterizing edge modification problems above lower bounds"):
  with members:
    - "parameterized lower bounds and dichotomy results for the np completeness of h free edge modification problems"
    - "raising the bar for vertex cover fixed parameter tractability above a higher guarantee"
    - "subexponential parameterized algorithm for computing the cutwidth of a semi complete digraph"
    - "faster parameterized algorithms using linear programming"
    - "subexponential fixed parameter tractability of cluster editing"
    - "on multiway cut parameterized above lower bounds"
    - "on the non existence of polynomial kernels for p l free edge modification problems"
    - "faster algorithms for feedback arc set tournament kemeny rank aggregation and betweenness tournament"

Connected through hyperedge HE-3 (induced by source paper "the parameterized complexity of finding secluded solutions to some classical optimization problems on graphs"):
  with members:
    - "finding secluded places of special interest in graphs"
    - "a shortcut to sun flowers kernels in logarithmic space or linear time"
    - "parameterized complexity of secluded connectivity problems"
    - "on the parameterized complexity of cutting a few vertices from a graph"
    - "secluded connectivity problems"
    - "approximation and tidying a problem kernel for s plex cluster vertex deletion"
    - "finding small separators in linear time via treewidth reduction"

Connected through hyperedge HE-4 (induced by source paper "computing hitting set kernels by ac 0 circuits"):
  with members:
    - "computing kernels in parallel lower and upper bounds"
    - "slicewise definability in first order logic with bounded quantifier rank"
    - "some lower bounds in parameterized rm ac 0"
    - "fast parallel fixed parameter algorithms via color coding"

Connected through hyperedge HE-5 (induced by source paper "dynamic parameterized problems and algorithms"):
  with members:
    - "fully dynamic maximal matching in constant update time"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "linear time kernelization for feedback vertex set"
    - "a linear time parameterized algorithm for directed feedback vertex set"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "dynamic graph connectivity with improved worst case update time and sublinear space"
    - "improved algorithms for decremental single source reachability on directed graphs"
    - "fast dynamic graph algorithms for parameterized problems"

Connected through hyperedge HE-6 (induced by source paper "finding secluded places of special interest in graphs"):
  with members:
    - "parameterized complexity of secluded connectivity problems"
    - "on the parameterized complexity of cutting a few vertices from a graph"
    - "secluded connectivity problems"
    - "approximation and tidying a problem kernel for s plex cluster vertex deletion"
    - "finding small separators in linear time via treewidth reduction"

Connected through hyperedge HE-7 (induced by source paper "a parameterized complexity view on non preemptively scheduling interval constrained jobs few machines small looseness and small slack"):
  with members:
    - "interval scheduling and colorful independent sets"
    - "new results on online resource minimization"

Connected through hyperedge HE-8 (induced by source paper "assessing the computational complexity of multi layer subgraph detection"):
  with members:
    - "stream graphs and link streams for the modeling of interactions over time"
    - "simultaneous feedback vertex set a parameterized perspective"
    - "an introduction to temporal graphs an algorithmic perspective"
    - "on the k anonymization of time varying and multi layer social graphs"
    - "the parameterized complexity of k biclique"
    - "clustering on multi layer graphs via subspace analysis on grassmann manifolds"
    - "clustering with multi layer graphs a spectral perspective"
    - "the h index of a graph and its application to dynamic subgraph statistics"

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)