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: "on the non existence of polynomial kernels for p l free edge modification problems"
  Abstract: Given a graph G = (V , E) and an integer k, an edge modiﬁcation problem for a graph property Π consists in deciding whether there exists a set of edges F of size at most k such that the graph H = (V , E △ F ) satisﬁes the property Π. In the Π edge-completion problem, the set F of edges is constrained to be disjoint from E; in the Π edge-deletion problem, F is a subset of E; no constraint is imposed on F in the Π edge-edition problem. A number of optimization problems can be expressed in terms of graph modiﬁcation problems which have been extensively studied in the context of parameterized complexity. When parameterized by the size k of the edge set F , It has been proved that (Cai, IPL:58(4)-1996) if Π is an hereditary property characterized by a ﬁnite set of forbidden induced subgraph, then the three Π edge-modiﬁcation problems are ﬁxed-parameter tractable. It was then natural to ask (Cai, IWPEC 2006) whether these Π edge-modiﬁcation problems also admit a polynomial size kernel (i.e. any instance (G, k) can be reduced in polynomial time to an equivalent instance (G′ , k′ ) with size bounded by a polynomial in k). Using recent lower bound techniques, Kratsch and Wahlstr¨om (IWPEC 2009) answered this question negatively. However, the problem remains open on many natural graph classes characterized by forbidden induced subgraph. It is a challenging question to characterized for which type of graph properties, the parameterized edge-modiﬁcation problems have polynomial kernels. Kratsch and Wahlstr¨om asked whether the result holds when the forbidden subgraphs are paths and pointed out that the problem is already open in the case of P4 -free graphs (i.e. cographs). This paper provides positive and negative results in that line of research. We prove that parameterized cograph edge modiﬁcation problems have cubic vertex kernels whereas polynomial kernels are unlikely to exist for Pl -free graphs and Cl -free graph for large enough l.

Connected through hyperedge HE-1 (induced by source paper "faster and enhanced inclusion minimal cograph completion"):
  with members:
    - "techniques for the cograph editing problem module merge is equivalent to editing p4s"
    - "fast quasi threshold editing"
    - "on the threshold of intractability"
    - "phylogenomics with paralogs"

Connected through hyperedge HE-2 (induced by source paper "on the computational complexity of the bipartizing matching problem"):
  with members:
    - "decycling a graph by the removal of a matching new algorithmic and structural aspects in some classes of graphs"
    - "independent feedback vertex set for p_5 free graphs"
    - "minimum weight triangulation is np hard"

Connected through hyperedge HE-3 (induced by source paper "kernel for kt free edge deletion"):
  with members:
    - "a polynomial kernel for diamond free editing"

Connected through hyperedge HE-4 (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"
    - "towards optimal and expressive kernelization for d hitting set"
    - "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"
    - "faster algorithms for feedback arc set tournament kemeny rank aggregation and betweenness tournament"

Connected through hyperedge HE-5 (induced by source paper "on the parameterized complexity of graph modification to first order logic properties"):
  with members:
    - "kernelization lower bounds by cross composition"
    - "deciding first order properties of locally tree decomposable structures"

Connected through hyperedge HE-6 (induced by source paper "cograph editing merging modules is equivalent to editing p4 s"):
  with members:
    - "exact and heuristic algorithms for cograph editing"
    - "reconstructing gene trees from fitch s xenology relation"
    - "partial homology relations satisfiability in terms of di cographs"
    - "the mathematics of xenology di cographs symbolic ultrametrics 2 structures and tree representable systems of binary relations"
    - "phylogenomics with paralogs"
    - "on symbolic ultrametrics cotree representations and cograph edge decompositions and partitions"
    - "on tree representations of relations and graphs symbolic ultrametrics and cograph edge decompositions"
    - "parameterized algorithms for modular width"

Connected through hyperedge HE-7 (induced by source paper "eliminating odd cycles by removing a matching"):
  with members:
    - "degree constrained 2 partitions of graphs"
    - "decycling a graph by the removal of a matching new algorithmic and structural aspects in some classes of graphs"
    - "independent feedback vertex set for p_5 free graphs"
    - "minimum weight triangulation is np hard"

Connected through hyperedge HE-8 (induced by source paper "polynomial kernelization for removing induced claws and diamonds"):
  with members:
    - "a polynomial kernel for trivially perfect editing"
    - "a subexponential parameterized algorithm for proper interval completion"
    - "a subexponential parameterized algorithm for interval completion"
    - "exploring subexponential parameterized complexity of completion problems"
    - "parameterized complexity of induced graph matching on claw free graphs"
    - "a polynomial kernel for proper interval vertex deletion"
    - "subexponential parameterized algorithm for minimum fill in"

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)